Staff Software Engineer, Content Discovery and Search - Ventura OS
Staff Software Engineer Job At The Trade Desk
What You Will Do: Our Staff Engineers are end-to-end owners. As a member of Content Discovery and Search team, you will be responsible for the design, implementation, and optimization of content discovery and search systems within Ventura TV OS cloud services. Your work will directly impact how users discover and interact with content across the platform, ensuring a seamless, high-quality experience.
* Partner with application teams to design, build, and scale content discovery and search features that cater to user needs while ensuring performance, relevancy, and scalability.
* Work on processing and understanding content to enhance personalization mechanisms, improving the user experience by delivering the most relevant and engaging content.
* Build and manage high-performance, low-latency search systems capable of handling large and diverse content catalogs, ensuring efficient indexing, fast queries, and relevant results.
Who You Are:
We are seeking a highly motivated software engineer with a passion content discovery and personalization:
* You have a sustained track record of making significant, self-directed, and end-to-end contributions to large and impactful software projects. You think beyond just the task at hand to deeply understand the 'why' behind what you are doing.
* You understand engineering fundamentals. At our scale, many off-the-shelf techniques and existing technologies (open source and enterprise) simply don't work. You are able to work from first principles to evaluate solutions and adapt them to a unique environment.
* You understand modern data-intensive systems, have hands-on experience with distributed data processing, data indexing, building ML inference and re-training frameworks. You are also passionate about discovering personalized and relevant data to improve system effectiveness and user experience.
* You work with confidence and without ego. Our engineers have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly-held, defensible ideas, and advocate for what you believe is right. You will welcome ideas that are different from your own, are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to walk through fire to support your fellow teammates.
What We Care About:
What and how you can contribute is what's important to us. Our consideration is not limited by the kind of education you have or the specific technologies you have experience with. Variety of technical challenge is one of the best things about working at The Trade Desk as an engineer, but we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and solve complex problems using the best tools for the job.
NY, CO, CA, and WA residents only: In accordance with NY, CO, CA, and WA law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk's Employee Stock Purchase Plan.
The Trade Desk also offers a competitive benefits package. Click here to learn more.
Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave
At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is$136,300-$249,900 USD
As an Equal Opportunity Employer, The Trade Desk is committed to making our job application process accessible to everyone and to providing reasonable accommodations for applicants with disabilities. If you have a disability or medical condition and require an accommodation for any part of the application or hiring process, please contact us at accommodations@thetradedesk.com
You can also contact us using the same email address if you have a disability and need assistance to access our Company website.
When contacting us, please provide your contact information and specify the nature of your accessibility issue.
Principal Staff Software Engineer - Storage
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
This role will be based in Mountain View.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
Do you want to build, scale, and evolve the next generation remote managed disk solution for LinkedIn? It is a core building block of the entire LinkedIn stack and will replace local disks for the vast majority of use cases. As a foundational storage solution, it will seamlessly scale to 100 PBs and serve 10s of millions of QPS at ultra low latencies. We aspire for lights out operations, needing no human touch as the site scales to 10s of thousands of servers and beyond. We are a small team working on realizing a big vision. If you are looking for an opportunity to make a big impact, come join us in the Infrastructure Software Engineering group.
Responsibilities:
You will act as a domain expert for Storage Infrastructure at LinkedIn and own architectural decisions
You will partner with customers and leaders to create roadmaps, drive alignments and deliver products
You will lead and mentor teams, while actively building and operating large scale systems
You will define, enforce and continuously raise the bar for craftsmanship at Linkedin, bringing in best practices from the industry
You will build a culture of innovation, with bias for execution
Basic Qualifications:
BA/BS Degree or higher in Computer Science or related technical discipline, or equivalent practical experience
10+ years of industry experience in software design, development, and algorithm related solutions.
10+ years of experience programming in C/C++, Rust, Go, or similar languages
Hands on experience developing large-scale distributed systems, database, remote disk, and storage
5+ years of experience as an architect or technical leadership position
Preferred Qualifications:
MS or PhD in Computer Science or related technical discipline
12+ years experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
12+ years experience in an object-oriented programming language such as C/C++, Rust, Go
Knowledge of multi-threading, concurrency, and parallel processing technologies.
Experience with industry, open-source projects and/or academic research in large-data, parallel and distributed systems
Experience leading high-impact, cross-organization initiative
Suggested Skills:
-Distributed Systems
-Technical Leadership
-Storage systems
-Data infrastructure
-Remote Storage
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $218,000 to $357,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Principal Staff Software Engineer, AI Training Platform
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
This role will be based in Mountain View, CA, San Francisco, CA or Bellevue, WA.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers hybrid work options, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when your team needs to be together.
As part of LinkedIn's AI Platform group, the AI Training team is responsible for developing and maintaining highly available and scalable deep learning training solutions to power our rapidly growing AI use cases. The team is responsible for scaling LinkedIn's AI model training with hundreds of billions of parameters for all AI use cases from recommendation models, large language models (Generative AI), to computer vision models. We optimize training performance across algorithms, AI frameworks, infrastructure software, and hardware to harness the power of our GPU fleet with thousands of latest GPU cards. The team also works closely with the open source community and has many open source committers (TensorFlow, Horovod, Ray, Hadoop, etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning, and advanced LLM Agents work for Training infrastructure.
As a Principal Staff Software Engineer on the AI Training Infra team, you will play a crucial role in leading and building the next-gen training infrastructure to power AI use cases. You will design and implement high performance AI Training pipeline, data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, data parallelism, Zero, automatic mixed precision and kernel fusion. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention and more.
Responsibilities
- Owning the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
- Designing, implementing, and optimizing the performance of large-scale distributed training for personalized recommendation as well as large language models.
- Improving the observability and understandability of various systems with a focus on improving developer productivity and system sustenance.
- Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team.
- Working closely with the open-source community to participate and influence cutting edge open-source projects (e.g., PyTorch, GNNs, DeepSpeed, Huggingface, etc.).
- Functioning as the tech-lead for several concurrent key initiatives for the Training Infrastructure and defining the future of AI training platforms.
Basic Qualifications:
- BS/BA in Computer Science or related technical field or equivalent technical experience
- 7+ years of industry experience in software design, development, and algorithm related solutions
- 7+ years of experience programming in object-oriented languages such as Python, C++, Java, Go, Rust, Scala
- 5+ years of experience as an architect, or technical leadership position
- 5+ years of experience in the industry with leading / building deep learning systems
- Hands-on experience developing distributed systems or other large-scale systems
Preferred Qualifications:
- MS or PhD in Computer Science or related technical discipline.
- 12+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
- 12+ years of experience in an object-oriented programming language such as Python, C++, Java, Go, Rust, Scala
- 5+ years of experience with large-scale distributed systems and client-server architectures
- Co-author or maintainer of any open-source projects
- Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems
- Familiarity with containers and container orchestration systems
- Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX
Suggested Skills:
- ML Algorithm Development
- Machine Learning / Deep Learning
- Big Data
- Stakeholder Management
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $207,000 to $340,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Principal Staff Software Engineer - Advertiser Experience
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options, meaning you can work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together, or this role can be performed remotely in most locations in the country of employment.
LinkedIn Marketing Solutions (LMS) is the largest and fastest growing scaled B2B Advertising Platform in the world. The LMS engineering team is responsible for building and scaling the technology stack that powers our advertising business including advertiser experiences, ad serving platform and ad products.
The Advertiser Experience org within LMS is the face of LinkedIn to advertisers. Through our suite of first party products, Campaign Manager and Business Manager, and API products, we enable enterprises, small businesses, partners and agencies to run successful advertising campaigns and grow their business. We are looking to hire a Principal Staff Software Engineer to partner with the Director of Engineering on scaling our infrastructure and re-imagining the workflows for our advertisers through AI. The role requires customer empathy, thought leadership, technical vision and the ability to inspire a team of engineers in solving challenging problems.
Responsibilities:
You will build and ship software, drive architectural decisions and implementation across LMS teams.
You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
You will lead cross team/cross-functional discussions and drive alignment on product/technology strategy.
You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.
You will act as one of the primary domain experts to influence technology choices.
You will lead by example to build a culture of craftsmanship and innovation.
Basic Qualifications:
BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience
8+ years of programming experience in Java, C++, C# or similar programming languages
8+ years of experience building large-scale distributed systems, applications or similar experience
Preferred Qualifications:
MS or PhD in Computer Science or related technical discipline.
12+ years of relevant work experience.
Experience with strategic planning, executing on a long term roadmap, team development and scaling processes to support business growth.
Experience designing and building infrastructure and backend services at internet scale.
Experience building and shipping high quality work while achieving high reliability.
Experience utilizing data and analysis in articulating technical problems and in arriving at recommendations and solutions.
Experience leading high-impact cross-org initiatives
Experience in working with AI in consumer facing products
Suggested Skills:
* Building large scale backend services
* Technical Leadership
* Ads domain expertise
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $195,000 to $320,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Software Engineer, Data
Sunnyvale, CA Jobs
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day, our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members globally, and a mix of B2B and B2C programs, we offer countless ways for ambitious individuals to have an impact and transform their careers. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture.
The technical foundation team is an engineering team embedded into data science groups in charge of developing robust data foundations and data tooling to empower the rest of the data science team and cross functional teams. This individual will work closely with data science partners and other cross-functional stakeholders, including AI, Product Managers, and Engineering, to tackle a variety of projects. These projects may range from building data foundations and generalized tools to streamlining complex analyses or developing new methodologies. This role is unique in that it allows you to work end-to-end on new initiatives and build data solutions from the ground up.
Responsibilities
• Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from large datasets or automate complex algorithms to enable data-driven decision making.
• Work with cross-functional partners to identify business opportunities and build scalable data solutions and applications.
• Establish efficient design and programming patterns for engineers as well as for non-technical partners. Ensure best practices and standards in our data ecosystem are shared across teams.
• Contribute to engineering innovations that fuel LinkedIn's vision and mission.
Basic Qualifications
• Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
• 5+ years of relevant industry experience.
• Experience with SQL/Relational databases.
• Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript, prefer Python, Java and Scala).
Preferred Qualifications
• BS and 7+ years of relevant work experience, MS and 5+ years of relevant work experience, or Ph.D. and 3+ years of relevant work/academia experience working with large amounts of data.
• Experience working with data pipeline authoring system, such as Airflow, Flyte, DBT
• Good knowledge of using Spark and related development tools
• Familiarity with distributed systems, source control, testing frameworks, and all aspects of developing in large, distributed software teams.
• Build applications and platforms that enable producers and consumers of data insights to work smarter and more efficiently.
• Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences.
• Experience with data products and basic statistics.
• Experience creating data visualizations.
• Proven experience in designing and implementing complex data foundation, emphasizing high-volume, high-reliability, and high-quality datasets.
Suggested Skills
• Experience building data science or machine learning platforms.
• Experience writing RESTful / GRPC APIs with modern frameworks.
• Web App Development
• Technical Leadership
• Hands-on experience in building data pipelines to transform unstructured data into structured formats, with emerging knowledge of leveraging Large Language Models (LLMs) to enhance data processing and transformation workflows.
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 to $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock and benefits. For additional information, visit: **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Full Stack Software Engineer - Infrastructure Business Engineering
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
This role will be based in our Mountain View, CA campus.
At LinkedIn, we're hiring a staff software engineer to develop and manage infrastructure business operations software and data systems from concept through its production life-cycle. This is a great opportunity to join a globally recognized company experiencing significant growth, and help contribute to the vision of creating economic opportunity for every member of the global workforce. With our successful core product offerings and expanding portfolio of innovative new products and features, our need for highly talented professionals has never been greater!
The successful candidate will lead, build, and manage development and operations of software/data/process solutions to transform data center infrastructure engineering and operations, specifically, hardware forecasting, power capacity planning, financial planning and management, sourcing/procurement/supply-chain management, hardware fulfillment and asset life-cycle management. The candidate will focus on both long-term decisions and the prioritization and execution of short-term actions.
Roles and responsibilities
· Drive Strategy and Vision: Develop the vision and define strategic roadmaps for transforming data center infrastructure operations, leading initiatives to improve business efficiency and operations.
· Analyze and Innovate: Evaluate the current state of systems, identify gaps and opportunities for improvement, and design high-impact solutions. Collaborate with stakeholders to align objectives, plan development, prioritize features, and execute with precision.
· Champion Customer Success: Advocate for customer outcomes, ensuring that solutions deliver measurable ROI and tangible business benefits.
· Architect and Build Distributed Systems: Design and develop distributed applications, making architectural decisions that balance synchronous and asynchronous design patterns. Write high-quality code, ensuring timely delivery with a focus on performance and reliability.
· Develop Scalable Applications: Build multi-tier, user-centric applications that are scalable, high-performing, and reliable, ensuring 24x7 uptime for mission-critical systems.
· Design Backend Systems and APIs: Create robust data models, schemas, and APIs to support seamless backend operations, ensuring efficient data flow and system integration.
· Create Reusable UI/UX Components: Develop and maintain a consistent, reusable UX/UI pattern library to standardize common workflows such as search, list, CRUD operations, reporting, and analytics across applications.
· Ensure Code Quality and Best Practices: Deliver high-quality software that is thoroughly unit tested, code reviewed, and regularly integrated into the development pipeline for continuous integration.
· Provide Technical Leadership: Lead by example, establishing and driving best engineering practices to plan, initiate, and execute large-scale, cross-functional projects.
· Improve Engineering Productivity: Identify and champion opportunities to enhance engineering efficiency and productivity through process improvement, tool development, and knowledge sharing.
· Mentor and Develop Team Members: Mentor junior engineers, guiding them on coding standards, design patterns, and operational best practices to foster growth and improve team capability.
· Support Production Systems: Provide on-call and production support for deployed systems, ensuring operational stability and addressing issues promptly.
Basic qualifications
· BA/BS Degree in Computer Science, Engineering or related technical discipline, or equivalent practical experience
· 5+ years of experience in software design, development, and algorithm related solutions such as database design and development, API development and integration, distributed systems development, version control and software development collaboration tools, etc
· 5+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby.
Preferred qualifications:
Database design and development
· Strong knowledge of database design, data models, schema creation, and optimization.
· Expertise in relational, document-oriented and time series databases such as MySQL, PostgreSQL, Redis, Couchbase, Cassandra, MongoDB)
· Experience with data migration, ETL processes, and database scaling for large datasets.
API Development and Integration
· Experience designing, building, and maintaining RESTful APIs or GraphQL services.
· Strong understanding of API security, authentication (OAuth, JWT), and performance best practices.
· Experience in integrating third-party APIs and services.
· Proficiency in back-end languages (e.g., Python, Go, Node.js, Java) for building scalable services.
UI/UX Development
· Proficiency with front-end technologies such as HTML5, CSS3, JavaScript (ES6+), TypeScript, and modern JavaScript frameworks (e.g., React, Angular, Vue.js).
· Experience with responsive design, cross-browser compatibility, and web accessibility.
· Understanding of design principles and experience collaborating with UI/UX teams to implement intuitive user interfaces.
· Familiarity with front-end state management (e.g., Redux, Vuex) and component-based architecture.
Distributed Systems Development
· Experience building and deploying distributed, scalable, and fault-tolerant systems.
· Familiarity with microservices architecture, event-driven design, and message brokers (e.g., Kafka, RabbitMQ).
· Understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
· Experience with load balancing, caching, and scaling strategies to ensure high availability and performance.
Version Control and Collaboration Tools
· Proficiency with Git and experience in collaborative workflows (e.g., GitFlow, Pull Requests).
· Experience using issue tracking, CI/CD pipelines, and task management tools (e.g., JIRA, GitHub).
Familiarly with LLM Application Stack
· LLMs (GPT, Llama, Gemini)
· Vector databases (Qdrant, ElasticSearch)
· Embedding models (Hugging Face, MixedBread)
· Orchestration tools (LlamaIndex, LangChain)
Suggested Skills:
· Database design and development
· API Development and Integration
· UI/UX Development
· Distributed Systems Development
· Version Control and Collaboration Tools
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $147,000-240,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Software Engineer - Security Infrastructure
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
Location: This role will be based in Sunnyvale, CA, San Francisco, CA or Bellevue, WA.
At LinkedIn, we trust each other to do our best work where it works best
for us and our teams. This role offers a hybrid work option, meaning you
can both work from home and commute to a LinkedIn office, depending on
what's best for you and when it is important for your team to be together.
Team Overview:
Securing data is core to building trust with our members and for LinkedIn's success. Our vision as the Security Infrastructure team is to ensure that every access to data at LinkedIn is safe. Our mission is to make security intuitive, performant, and secure. We build highly
reliable and scalable services and developer-friendly infrastructure that enable engineering teams across the company to create and integrate secure features and proactively protect our members' data. We are responsible for securing all of LinkedIn's microservices, big data, and large scale data systems such as Kafka.
As a Staff Software Engineer, you will play a crucial role in our ongoing efforts to execute the vision for our security infrastructure features, and capabilities. This is a critical role that will touch every aspect of our engineering organization, and we are looking for motivated professionals who have a proven track record of working with engineering teams that can develop large-scale security infrastructure by collaborating with teams across a large organization.
As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: an application and service delivery platform, compute platform, massively scalable data storage and replication systems, cutting-edge search platform, best-in-class AI platform, experimentation platform, privacy and compliance platform etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems-design, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source infrastructure projects like Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure products like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
If you are passionate about developing and delivering the underlying technology that powers one of the world's most-used internet applications and have the skills and experience to help us take our security infrastructure and services to the next level, we want to hear from you. Apply now to join our team and help shape the future of LinkedIn.
Responsibilities:
You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance
You will effectively communicate with the team, partners and stakeholders.
You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
You will work closely with the open-source community to participate and influence cutting edge open-source projects (e.g., Apache Iceberg)
You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale
You will diagnose technical problems, debug in production environments, and automate routine tasks
Basic Qualifications:
BS/BA in Computer Science or related technical field, or equivalent technical experience
4+ years of industry experience in software design, development, and algorithm related solutions.
4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages
Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
Preferred Qualifications
BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.
Proven experience in designing, developing, and managing large-scale distributed systems.
Experience with industry, Opensource, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice
Strong, in-depth knowledge of the Linux Kernel, including boot modes and initialization
Systems.
Familiarity with Linux Kernel security features such as Kernel Runtime Security Instrumentation (KRSI).
Understanding of Intel and AMD hardware virtualization technologies like SGX, TDX, SPE-VI, SEV-SNP.
Proficiency in eBPF and XDP, as well as security frameworks like Seccomp, SELinux, or AppArmor.
Hands-on experience with Linux containers and Kubernetes, and familiarity with container runtimes such as Containerd, runc, or similar.
System-level programming experience in Go/C or Rust/C++, or distributed systems programming within the Kubernetes ecosystem.
Suggested Skills
API Development
Kubernetes Infrastructure
Workload Security
Java/Golang/Rust/Python
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 - $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Software Engineer, Site Reliability
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
Responsibilities:
· You will develop tools to improve our ability to rapidly deploy and effectively monitor custom applications in a large-scale Linux environment.
· You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
· You will produce high quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
· You will serve as a primary point responsible for the overall health, performance, and capacity of one or more of our Internet-facing services.
· You will assist in the roll-out and ramp up of new product features and technologies to facilitate our rapid iteration and constant growth.
· You will gain deep knowledge of our complex applications and operate effectively in a fast-paced, rapidly changing environment.
· You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.
Basic Qualifications:
· BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience.
· 4+ years of industry experience in software design, development, and algorithm related solutions.
· 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby.
Preferred Qualifications:
· BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.
· Experience in designing and building infrastructure and web services at large scale.
· Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.
· Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.
· Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming.
· Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.
· Experience with Linux operating systems and troubleshooting production systems at scale.
Suggested Skills:
· Technical Leadership
· Advanced Programming Skills
· Code Review and Quality Assurance
· Advanced Software Design & Architecture
· Mentoring and Knowledge Sharing
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $147,000 to $240,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Software Engineer - Applications
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
Responsibilities:
· You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
· You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
· You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
· You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.
Basic Qualifications:
· BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
· 4+ years experience in software design, development, and algorithm related solutions.
· 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby.
Preferred Qualifications:
· BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.
· Experience in designing and building infrastructure and web services at large scale.
· Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.
· Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming.
· Experience building web applications and services with IDEs, ant, junit, etc.
· Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.
Suggested Skills:
· Technical Leadership
· Architectural Mastery
· Code Review and Quality Assurance
· Advanced Security Practices
· Mentoring and Knowledge Sharing
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 - $240,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Software Engineer - Video Processing
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
Job Description
This role can be based in Mountain View, CA or Bellevue, WA.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
In this role, you will join the Media Infrastructure org which is responsible for handling all media creation and consumption on LinkedIn. Media, and in particular Video, has become a key driver of business growth at LinkedIn. Media Infrastructure org provides a platform for LinkedIn product teams to incorporate Media in their features. We are a small org with a large impactful scope. E.g., optimizations in video performance have moved the needle for LinkedIn's core business metrics.
As a Media specialist, you will be responsible for optimizing media (video, images and/or documents) transcoding processes and tuning encoding parameters to enhance our media delivery capabilities. You will work with a dynamic team of engineers and collaborate on various projects to deliver high-performance media solutions.
Responsibilities
- Define and hold yourself responsible for media quality of experience metrics like video visual quality (VMAF, SSIM etc)
- Integrate video codecs (such as H.264, H.265, VP9, AV1) and optimize them for performance under Linux environments.
- Work with FFMPEG and other media tools to process and manipulate media streams and make modifications as needed.
- Work with a cluster of worker nodes and consider the system level optimizations to improve the overall performance.
- Troubleshoot and resolve issues related to media processing
- Collaborate with cross-functional teams to deliver integrated media solutions.
- Maintain and update technical documentation related to media processing development and integration.
Basic Qualifications
- BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
- 4+ years of industry experience in software design, development, and algorithm related solutions.
- 4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages.
- Basic integration knowledge under Linux environments.
- Experience working in the media processing domain.
Preferred Qualifications
- BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience
- Proficiency in modifying FFMPEG to enhance capabilities.
- Experience with additional video codecs and streaming protocols.
- Experience with Java to implement or modify business logic and media features.
- Proven experience in the development and/or integration of video codecs (H.26x, H.264, H.265, VP9, AV1, etc.) and proficiency in using FFMPEG for video processing.
Suggested Skills
- Distributed systems
- Backend Systems Infrastructure
- Java/Golang/Rust/Python
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000 - $255,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Software Engineer - Compute Infrastructure
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together.
Job Description
As a staff member of the Compute Infrastructure team at LinkedIn, you will be charged with building the next-generation infrastructure and platforms for LinkedIn. This is a unique opportunity to work on a high-profile, high-impact ongoing project that will touch every aspect of our engineering organization. Specifically, the LinkedIn Kubernetes Infrastructure team provides an on-premises Kubernetes platform for the entire company. The team provides capability to efficiently create Kubernetes clusters on-demand, build multi-clusters solutions, automate upgrades, and intelligently detect and remediate cluster health, etc.
In this role, you will be responsible for designing and implementing solutions that will enable LinkedIn to scale its Compute Infrastructure to meet the demands of a rapidly growing user base. This will involve working closely with a team of experienced engineers to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment.
Responsibilities:
- You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
- You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
- You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance
- You will communicate with the team, partners and stakeholders.
- You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
- You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale
- You will diagnose technical problems, debug in production environments, and automate routine tasks
Basic Qualifications
- BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
- 4+ years of industry experience in software design, development, and algorithm related solutions.
- 4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages
- Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
Preferred Qualifications
- BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience
- Experience in architecting, building, and running large-scale distributed systems
- Experience with Kubernetes (or similar) Ecosystem
- Experience with Kubernetes controller development, automating cluster management
- Golang coding experience
- Experience with industry, open source, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice
- Experience with open-source project management and governance
Suggested Skills:
-Distributed Systems
-Golang
-Technical Leadership
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000 to $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Principal Staff Software Engineer, Systems Infrastructure
Mountain View, CA Jobs
LinkedIn was built to help professionals achieve more in their careers, and every day, millions of people use our products to connect, discover opportunities, and gain insights. Our global reach allows us to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume-we transform lives through innovative products and technology.
Searching for your next big opportunity? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.
We believe that leadership is about fostering growth, maintaining balance, and achieving results. Our leaders value their craft, inspire their teams, and set the standard for high-quality work. They drive the strategy and implementation of critical initiatives, motivating and developing their teams to make a lasting impact on our business and community.
Job Description
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, with an office location in Mountain View, CA.
We are looking for an experienced principal-level technical lead for the big data platform infrastructure organization in LinkedIn. The candidate would be the organizational leader's technical partner in building end-to-end solutions for the platform. The organization includes orchestrators, data processing query engines, streams compute, data warehouse, and catalog. The candidate should have proven experience in most of these technologies so that the person can help design and lead end-to-end solutions that span the entire platform.
This would include partnering with the technical leads to help build solutions in the following areas:
Building a seamless managed data experience for the platform users
Strategize and help build a single multipurpose query engine that spans both batch and streams compute.
Strategizing on the SQL-first strategy for infrastructure.
Building an observable platform that has true end-to-end error handling.
The candidate is expected to work with partners and customer stakeholders to strategize and lead solutions along with a deep hands-on approach to problem-solving. The candidate should have demonstrated strong leadership skills with a focus on customer experience and quality.
Basic Qualifications:
BS/BA in Computer Science or related technical field or equivalent technical experience
10+ years of experience in software design, building solutions with at least 5 of those years in a technical leadership position
Preferred Qualifications:
12+ years' experience in software design with at least 5 of those years in a technical leadership position
Experience with big data platform infrastructure
Experience leading and influencing within large, matrixed organization
Experience leading high-impact, cross-organization initiatives.
"Suggested skills"
- big data platform infrastructure
- Developing technology strategies at a company-wide scale.
- Technical leadership
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $238,000 to $390,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include an annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Principal Staff Software Engineer, Site Reliability
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
Job Description:
We are seeking an experienced Principal-level Technical Lead to join LinkedIn's Infrastructure SRE organization. As the technical partner to the organizational leader, you will play a critical role in designing and implementing end-to-end solutions for the platform. The organization encompasses Site Health and Operations, Embedded Infrastructure SRE (supporting Data Infrastructure and Data/AI Platform partners), and Data Automation. The ideal candidate will have proven expertise in these domains, enabling them to design and lead comprehensive solutions that integrate seamlessly across the entire platform.
As a Principal Engineer, you will serve as a key technical leader and role model within the Infra SRE organization, driving the development of scalable and reliable infrastructure operations solutions powered by AI/ML. With the industry increasingly focused on AI, our efforts are aimed at enhancing productivity by building and deploying AI/ML solutions at scale in a sustainable manner, enabling the industrialization of AI.
In this role, you will mentor team members, set a high standard for technical craftsmanship, and help elevate the team's capabilities. You will also champion LinkedIn's Core Values of transformation, collaboration, and results, fostering a culture that aligns with these principles.
You will work closely with partners and customer stakeholders to strategize, design, and lead innovative solutions while taking a hands-on approach to problem-solving. Strong leadership skills and a focus on delivering high-quality solutions are essential for success in this role.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of the business. *The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.*
Key Responsibilities:
We take an engineering-first approach to elevate infrastructure operations and reliability. As a Principal Engineer, you'll be driving the strategy to bring down the total cost of ownership to run and operate our infrastructure.
Build platforms to augment end-to-end reliability and scalability of LinkedIn's platforms, services, and products and bring actionable operational insights to enable continuous improvement.
You will be defining appropriate Service Level Objectives (SLOs) and managing error budgets to balance reliability with innovation and feature development for infrastructure.
Scale: our data footprint continues to grow exponentially beyond 100s of thousands of servers, multiple exabytes of storage, 10s of trillions of events/messages - arrive at a cohesive strategy and best practices to continue to scale our footprint 10x.
Cloud-based ecosystems are rapidly evolving. In this role, you will be expected to stay up to date with the latest cloud trends, including Kubernetes, serverless technologies, containers, and best practices for managing and optimizing large-scale infrastructure performance and help define our strategy and roadmap to set us up to be competitive and get ahead of the trends.
Provide architectural guidance and mentorship to elevate the engineering organization, actively enhancing craftsmanship at LinkedIn by establishing best practices and strategic approaches.
Influence and lead architecture and design decisions with a strong focus on ensuring Site Up as the top priority
Drive consensus across cross-functional teams within a matrixed organization, fostering alignment and building a cohesive and collaborative team culture.
Basic Qualifications:
BS/BA in Computer Science or related technical field or equivalent technical experience
10+ years of experience in software design, building solutions with at least 5 of those years in a technical leadership position/architect
Preferred Qualifications:
MS Degree in Computer Science or related technical discipline, or equivalent practical experience
10+ years relevant engineering experience in software design/development
10+ years programming experience in an object-oriented programming language such as Java, C/C++, Python
Knowledge of AI/machine learning and data analytics
Experience with large-scale distributed systems and client-server architectures
Experience with Data Infrastructure tech stacks: Kafka/PubSub systems, Flink, Airflow, ETL framework and distributed storage (HDFS, S3/EBS, Object Storage, Couchbase, or similar)
Experience architecting and launching complex AI and engineering projects
Experience leading and influencing within large, matrixed organization
Experience leading high-impact, cross-organization initiatives.
Suggested Skills:
Handle large-scale infrastructure
Developing technology strategies at a company-wide scale.
Technical leadership
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $203,000 to $333,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include an annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Sr. Staff Software Engineer, Machine Learning
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works.
This role will be based in Sunnyvale.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
Team Overview:
The Notification AI team builds high-quality large scale machine learnt models to deliver the right content to the right member through the right channel at the right time and the right frequency. This enables LinkedIn to have a healthy notification ecosystem and allows members to accomplish their professional goals on time through a pleasant experience. And for product teams, we provide a targeting platform that delivers product's value to members.
As a tech lead in the Notifications AI team, you will directly impact member experience through optimizing the above dimensions. You will be responsible for leading a team of scientists and machine learning engineers that build and own personalization algorithms, models, and systems. You will work with some of the best engineers and scientists on state-of-the-art technology that leverages truly big data. You will be leading the core modeling initiatives in the team, including our efforts in Multi Objective Reinforcement Learning, Decision Transformers, Meta Learning, and Large Language models. You are expected to challenge the status quo on AI, Engineering, and Product fronts, propose innovative new ideas, and lead these new initiatives to production to further improve our member experience and drive value.
The Notifications AI team is highly impactful and is in charge of optimizing member value, bringing members back to LinkedIn and keeping them engaged with the ecosystem. The team works in close collaboration with the product, engineering and data science team and has a very exciting roadmap ahead. If you are looking to lead a highly visible team that operates at a fast pace, works on exciting research problems and delivers great results every quarter, Notifications AI is the place you should look. We also regularly publish in top machine learning conferences.
Responsibilities:
Work with large-scale data to build systems which will leverage and support new AI techniques for multi-task learning, transfer learning, content understanding, deep learning, entity embedding and algorithms to optimize member experience.
Provide technical leadership to junior engineers and collaborator orgs, drive and perform best engineering practices to initiate, plan, and execute large-scale, cross-functional critical projects.
Hold the team to a high ML craftsmanship bar and actively reduce ML tech debt, designing systems that scale with algorithms and with time, and improve engineering productivity.
Partner with data science & analytics teams, product & infrastructure teams to build new innovative ideas to improve member experience.
Bring together industry research and develop opportunities to contribute back to industry research
Basic Qualifications:
2+ years in a Lead Engineer, Architect, or Technical Leadership position.
5+ years of industry experience in software design, development, and algorithm related solutions
5+ years experience programming languages such as Java and/or Python
BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience
Experience with Machine Learning or Recommendation Systems
Preferred Qualifications
Ph.D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or a related discipline.
Worked with web-scale traffic and data.
Experience with developing and designing production scale recommender system products.
Published work in academic conferences or industry circles.
10+ years of industry experience.
Suggested Skills:
Deep learning models and transformers
Machine Learning
Recommendation systems
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $191,000 - $315,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Sr. Staff Software Engineer, Systems Infrastructure (Kubernetes)
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
Job Description
This role will be based in Mountain View, CA, or Bellevue, WA.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
As a Sr. Staff Software Engineer of the Compute Infrastructure team at LinkedIn, you will play a crucial role in our ongoing efforts to re-architect our compute infrastructure stack. This is a high-profile, high-impact project that will touch every aspect of our engineering organization. We are looking for experienced professionals who have a proven track record of designing large-scale compute infrastructure and driving consensus.
In this role, you will design and implement solutions that enable LinkedIn to scale its compute infrastructure to meet the demands of a rapidly growing user base. This will involve working closely with a team of experienced engineers, including distinguished engineers and technical fellows, to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment.
If you are passionate about building the underlying technology that powers one of the world's most-used internet applications, and have the skills and experience to help us take our compute infrastructure to the next level, we want to hear from you. Apply now to join our team and help shape the future of LinkedIn.
Responsibilities
-You will directly contribute to LinkedIn's Compute infrastructure strategy.
-You will build and operate a platform that allocates hardware resources with necessary physical/logical distribution for fault tolerance and easy maintenance.
-You will build and operate world class high performance scheduling/deployment solutions including some of the world's largest Kubernetes clusters to place stateless/stateful services, ML workloads and short running jobs efficiently.
-You will help up-level and coach a large team of talented developers.
Basic Qualifications
-5+ years of industry experience in software design, development, and algorithm related solutions
-5+ years of experience programming in object-oriented languages such as Java, Go, C/C++, Rust, Rust, Python
-Hands-on experience developing large-scale distributed systems
-2+ years of experience as an architect, or technical leadership position
-BS/BA in Computer Science or related technical field or equivalent technical experience
Preferred Qualifications
-10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
-10+ years of programming experience in an object-oriented programming language such as Go, Java, C/C++, Rust
-5+ years of experience building large-scale compute infrastructure, and distributed systems
-Demonstrated understanding of operating system fundamentals, container technologies, and systems knowledge.
-Experienced in leading technical teams and mentoring other engineers
-Experience building and operating cluster management solutions such as Kubernetes.
-Experience with IaaS systems and capacity management.
-Experience with networking and security principles.
-Deep understanding of Kubernetes architecture and key components (API server, scheduler, kubelet, etc.), with a proven track record of deploying, managing, and troubleshooting Kubernetes clusters.
-Strong proficiency in Golang, as it is the primary language.
-Solid understanding of networking concepts relevant to Kubernetes, including CNI plugins and pod networking.
-Knowledge of Kubernetes security best practices such as RBAC, network policies, and Pod security policies.
-Proficiency with monitoring and logging tools such as Prometheus, Grafana, and Fluentd.
Suggested Skills
-Distributed Systems
-Kubernetes
-Technical Leadership
You will Benefit from our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Sr. Staff Software Engineer - Rust Expertise
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
This role will be based in Mountain View, CA.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
As a Sr. Staff Software Engineer, you will be a key technical leader and role model within the organization. We are looking for a technical lead who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. You will foster LinkedIn's culture and values around transformation, collaboration and results. You will work closely with technical leadership and management within and outside our organization to contribute to building best-in-class core systems infrastructure for LinkedIn.
Responsibilities:
-Deliver impact by driving innovation while building and shipping software at scale
-Provide architectural guidance and mentorship to up-level the engineering organization
-Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies
-Design products/services/tools and code that can be used by others while upholding operational impact of all decisions
-Functioning as the tech-lead for multiple key initiatives, identify problems and opportunities and lead teams to architect, design, implement and operationalize systems
-Partner closely with teams within the org and customers to execute on the vision for long-term success of our core infrastructure teams
-Working closely with the open-source community to participate and influence cutting edge open-source projects.
-Keep a platform first approach while designing products/service
Basic Qualifications:
-BS/BA in Computer Science or related technical field or equivalent technical experience
-5+ years of industry experience in software design, development, and algorithm related solutions
-5+ years of experience programming in object-oriented languages such as Rust or C++
-2+ years of experience as an architect, or technical leadership position
-Hands-on experience developing large-scale, distributed systems, and databases
Preferred Qualifications:
-MS or PhD degree in Computer Science or related technical discipline
-10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
-10+ years of experience in an object-oriented programming language such as Rust or C++
-5+ years of experience with large-scale distributed systems and client-server architectures
-Experience with industry, opensource, and/or academic research in technologies such as GraphQL, gRPC, Envoy Proxy, Kubernetes
-Experience with interoperability with C++ and/or Rust, including Foreign Function Interface (FFI).
-Hands-on experience with SideCar architecture
-Experience with open-source project management and governance
-Experience in building a language platform
-Experience in improving the developer experience and enabling innovation.
Suggested Skills:
-Distributed Systems
-Technical Leadership
-Infrastructure
-Rust / C++
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Senior Staff Software Engineer - Systems and Infrastructure
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
This role will be based in Mountain View, CA.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
As part of our world-class software engineering team, you will take the lead in building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: service delivery platform, scalable data storage infrastructure, graph infrastructure, analytics platform, streams processing and data pipelines, cutting-edge search platform, best-in-class AI/ML infrastructure, Kubernetes compute infrastructure, media infrastructure, etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems design, and your passion for writing code that performs at massive scale. LinkedIn has pioneered many well-known open-source infrastructure projects including Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feather, etc. We also work with industry standard open source infrastructure technologies like Kubernetes, GRPC and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company.
As a Sr. Staff Software Engineer, you will be a key technical leader and role model within the organization. We are looking for a technical lead who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. You will foster LinkedIn's culture and values around transformation, collaboration and results. You will work closely with technical leadership and management within and outside our organization to contribute to building best-in-class core systems infrastructure for LinkedIn.
Responsibilities:
-Deliver impact by driving innovation while building and shipping software at scale
-Provide architectural guidance and mentorship to up-level the engineering organization
-Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies
-Design products/services/tools and code that can be used by others while upholding operational impact of all decisions
-Functioning as the tech-lead for multiple key initiatives, identify problems and opportunities and lead teams to architect, design, implement and operationalize systems
-Partner closely with teams within the org and customers to execute on the vision for long-term success of our core infrastructure teams
-Working closely with the open-source community to participate and influence cutting edge open-source projects.
-Keep a platform first approach while designing products/service
Basic Qualifications:
- BS/BA in Computer Science or related technical field or equivalent technical experience
- 5+ years of industry experience in software design, development, and algorithm related solutions
- 5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala
- 2+ years of experience as an architect, or technical leadership position
- Hands-on experience developing large-scale, distributed systems, and databases
Preferred Qualifications:
- MS or PhD degree in Computer Science or related technical discipline
- 10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
- 10+ years of experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, Scala
- 5+ years of experience with large-scale distributed systems and client-server architectures
- Experience in architecting and designing large-scale distributed systems related to data infrastructure, IaaS, ML/AI infrastructure, storage, graph, Kubernetes, and platforms.
Suggested Skills:
-Distributed Systems
-Technical Leadership
-Infrastructure as a Service (IaaS)
-Systems Infrastructure
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Sr. Staff Software Engineer, AI Platform
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
Join us to push the boundaries of scaling large models together. The team is responsible for scaling LinkedIn's AI model training, feature engineering and serving with hundreds of billions of parameters models and large scale feature engineering infra for all AI use cases from recommendation models, large language models, to computer vision models. We optimize performance across algorithms, AI frameworks, data infra, compute software, and hardware to harness the power of our GPU fleet with thousands of latest GPU cards. The team also works closely with the open source community and has many open source committers (TensorFlow, Horovod, Ray, vLLM, Hugginface, DeepSpeed etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning and Serving performance optimizations across billions of user queries.
Model Training Infrastructure: As an engineer on the AI Training Infra team, you will play a crucial role in building the next-gen training infrastructure to power AI use cases. You will design and implement high performance data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, enable distributed training over 100s of billions of parameter models, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, tensor parallelism, Zero++ etc. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention. PyTorch Lightning and more and more.
Model Serving Infrastructure: this team builds low latency high performance applications serving very large & complex models across LLM and Personalization models. As an engineer, you will build compute efficient infra on top of native cloud, enable GPU based inference for a large variety of use cases, cuda level optimizations for high performance, enable on-device and online training. Challenges include scale (10s of thousands of QPS, multiple terabytes of data, billions of model parameters), agility (experiment with hundreds of new ML models per quarter using thousands of features), and enabling GPU inference at scale.
As a Sr. Staff Software Engineer, you will have first-hand opportunities to advance one of the most scalable AI platforms in the world. At the same time, you will work together with our talented teams of researchers and engineers to build your career and your personal brand in the AI industry.
Responsibilities
-Owning the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
-Designing, implementing, and optimizing the performance of large-scale distributed serving or training for personalized recommendation as well as large language models.
-Improving the observability and understandability of various systems with a focus on improving developer productivity and system sustenance.
-Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team.
-Working closely with the open-source community to participate and influence cutting edge open-source projects (e.g., vLLMs, PyTorch, GNNs, DeepSpeed, Huggingface, etc.).
-Functioning as the tech-lead for several concurrent key initiatives AI Infrastructure and defining the future of AI Platforms.
Basic Qualifications:
- BS/BA in Computer Science or related technical field or equivalent technical experience
- 5+ years of industry experience in software design, development, and algorithm related solutions
- 5+ years of experience programming in object-oriented languages such as Python, C++, Java, Go, Rust, Scala
- 2+ years of experience as an architect, or technical leadership position
- 5+ years of experience in the industry with leading / building deep learning systems
- Hands-on experience developing distributed systems or other large-scale systems
Preferred Qualifications:
- MS or PhD in Computer Science or related technical discipline.
- 10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position
- 10+ years of experience in an object-oriented programming language such as Python, C++, Java, Go, Rust, Scala
- 5+ years of experience with large-scale distributed systems and client-server architectures
-Experience building ML applications, LLM serving, GPU serving.
- Co-author or maintainer of any open-source projects
- Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems
- Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX
Suggested Skills:
-ML Algorithm Development
-Machine Learning and Deep Learning
-Information retrieval / recommendation systems
-Technical leadership
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Software Engineer, Multi-Language Infrastructure (Python Expertise)
Mountain View, CA Jobs
LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.
This role will be based in Mountain View, CA.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
As a key member of our world-class software engineering team, you'll be tasked with building the next-generation infrastructure and platforms for LinkedIn. This includes, but is not limited to, developing an advanced application and service delivery platform, massively scalable data storage and replication systems, cutting-edge search technology, AI-driven platforms, experimentation tools, and privacy and compliance frameworks.
The Python Team holds a unique position within LinkedIn's ecosystem. We manage the Python language infrastructure and provide development teams with industry-leading standards in both developer experience and service efficiency. We are responsible for modernizing Python, improving Python performance and Python craftsmanship here in LinkedIn. In addition to the various system infra domain teams, we're also collaborating closely with the GenAI Platform teams to achieve ambitious goals for LinkedIn in the AI Era. Our team owns and evolves internal Python tooling to improve service performance on a large scale. You'll have the opportunity to work with top-tier engineers, delivering high-impact results across the tech stack, from system infrastructure to libraries, offline jobs, backend, and frontend development.
With the Python team in LinkedIn, you'll experience a collaborative and supportive culture, abundant learning opportunities, cross-team partnerships, and immense growth potential. Your passion and dedication will unlock limitless opportunities for development.
Join us and kick off your new exciting and transformative journey with LinkedIn!
Responsibilities:
- You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems.
- You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind.
- You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance
- You will effectively communicate with the team, partners and stakeholders.
- You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team
- You will work closely with the open-source community to participate and influence cutting edge open-source projects.
- You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale
- You will diagnose technical problems, debug in production environments, and automate routine tasks
Basic Qualifications:
- BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
- 4+ years of industry experience in software design, development, and algorithm related solutions.
- 4+ years experience programming in Python
- Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs
Preferred Qualifications:
- BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience
- Experience in architecting, building, and running large-scale distributed systems
- Experience with industry, open source, and/or academic research in technologies such as GraphQL, gRPC, Envoy Proxy, Kubernetes
- Experience with Python interoperability with C/C++, including Foreign Function Interface (FFI).
- Experience with interoperability with C++, including Foreign Function Interface (FFI).
- Experience with open-source project management and governance
- Experience in building a language platform
- Experience in building Python tooling
- Experience in improving the developer experience and craftsmanship
- Experience in performance engineering in Python
Suggested Skills:
- Distributed Systems
- Python
- Rust
- C/C++
- Database (MySQL / NoSQL)
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $156,000 to $288,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit **************************************
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ********************************
Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************
Staff Software Engineer, Infrastructure - Ventura OS
Staff Software Engineer Job At The Trade Desk
What You Will Do:
Our Staff Engineers are end-to-end owners. As a member of the infrastructure team, you will be responsible for the scalability, performance, reliability, and visibility of Ventura TV OS' cloud services:
Collaborate with application teams to design, implement, and manage scalable and efficient services and infrastructure.
Monitor system performance, troubleshoot issues, and optimize services and infrastructure for maximum availability and efficiency.
Ensure best operation, security and compliance practices are defined and implemented.
Who You Are:
We are seeking a highly motivated software engineer with a passion for infrastructure to join the team:
You have a sustained track record of making significant, self-directed, and end-to-end contributions to large and impactful software projects. You think beyond just the task at hand to deeply understand the 'why' behind what you are doing.
You understand engineering fundamentals. At our scale, many off-the-shelf techniques and existing technologies (open source and enterprise) simply don't work. You are able to work from first principles to evaluate solutions and adapt them to a unique environment.
You understand modern data-intensive systems, and have an interest in service's scalability, performance, reliability and visibility. What you know is less important than how well you learn and innovate. Deep understanding of cloud services and Kubernetes is preferred but not required.
You work with confidence and without ego. Our engineers have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly-held, defensible ideas, and advocate for what you believe is right. You will welcome ideas that are different from your own, are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to walk through fire to support your fellow teammates.
What We Care About:
What and how you can contribute is what's important to us. Our consideration is not limited by the kind of education you have or the specific technologies you have experience with. Variety of technical challenge is one of the best things about working at The Trade Desk as an engineer, but we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and solve complex problems using the best tools for the job.