Staff Software Engineer jobs at Pinterest - 1045 jobs

A leading social media platform in Palo Alto is looking for a Technical Lead Manager in Ads Conversion Modeling. This role includes leading the User Match Prediction roadmap, developing conversion models, and partnering with various teams to drive performance. Ideal candidates have a strong software engineering background, machine learning knowledge, and 6+ years of relevant experience. The position offers a competitive salary and hybrid work flexibility. #J-18808-Ljbffr

A leading social media platform in Palo Alto is looking for a Technical Lead Manager in Ads Conversion Modeling. This role includes leading the User Match Prediction roadmap, developing conversion models, and partnering with various teams to drive performance. Ideal candidates have a strong software engineering background, machine learning knowledge, and 6+ years of relevant experience. The position offers a competitive salary and hybrid work flexibility. #J-18808-Ljbffr

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible. We're seeking a software engineer to help Pinterest build and lead the next generation of stream processing platform and infrastructure. You'll be working on some of the most exciting big data open source technologies (Flink, Kafka, RocksDB, and more), at the scale of tens of millions of messages per second with terabytes of data to help Pinners discover and do what they love. What you'll do: Lead the strategy and technical direction of Pinterest's Streaming platform Improve and customize the internals of open source Flink to meet our challenges at scale and actively participate in open source community Build and scale stream processing frameworks and infrastructure to process millions of messages per second with terabytes of state Work with internal customers on critical business use cases that rely on low latency stream processing Provide thought leadership to the entire company on how real-time data should be processed and stored more reliably, quickly and efficiently at scale Contribute to the team's technical vision and long-term roadmap What we're looking for: 8+years of industry experience with a proven track record of technical excellence 5+ years of experience of building and support large scalable big data infrastructure/platform 4+ years of experiences in contributing to open-source Flink or streaming technologies Deep knowledge of big data technologies (e.g.Flink, Spark, Hadoop, Parquet/ORC, Flink) Experience in leading cross-team engineering efforts Proficiency in one or more programming languages (Java, Scala, Python) Experiences in Kubernetes and AWS technologies BS+ degree in a relevant field such as Computer Science OR equivalent experience In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-HYBRID #LI-AH2 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$177,185-$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

A leading technology company in Sunnyvale is seeking engineers to build ASIC/System on Chip (SoC) solutions for data center applications. The role involves emulation and prototyping, with responsibilities including delivering high-quality models and collaborating with various teams. The ideal candidate should have a bachelor's degree and over 6 years of experience in EDA tools and emulation technologies. Competitive compensation package includes annual salary ranging from $142,000 to $203,000. #J-18808-Ljbffr

A global technology company in Mountain View is seeking a Senior Silicon Physical Design Engineer to lead physical design methodologies. This role requires 5+ years of advanced design experience, particularly in SoC cycles and low power designs. The ideal candidate holds a Bachelor's or Master's in Electrical Engineering and is skilled in System Verilog and TCL scripting. You'll drive innovations that power the next generation of hardware across Google's data centers. #J-18808-Ljbffr

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description This role will be based in Mountain View, CA. 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. Qualifications 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 ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. 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 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. 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, 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. LinkedIn is seeking a Principal Staff Software Engineer to lead its Data Privacy and Data Governance Engineering team. This critical role involves ensuring LinkedIn meets privacy and data governance commitments made to regulators and end-users. You will be at the forefront of designing and implementing privacy-related systems and initiatives, including data minimization, data taxonomy, data retention, and purpose limitation. As a key leader in Privacy Engineering, you will be responsible for creating scalable solutions for LinkedIn's universal policy catalog and integrating it with a high-performance native policy enforcement system. This system will enforce data policies across all execution environments. The role requires a deep understanding of data privacy principles, and technical expertise to collaborate with cross-functional teams in developing innovative solutions that balance business requirements with privacy compliance. Responsibilities: + Design and implement scalable, reliable, and high-performance backend systems focused on member privacy and data protection. + Lead key privacy initiatives such as data minimization, data taxonomy, data retention, and purpose limitation. + Collaborate with product management, legal, engineering, compliance, and security teams to ensure privacy considerations are integrated into LinkedIn's architecture and development processes. + Develop technology roadmaps prioritizing members' data privacy. + Identify and evaluate new technologies to enhance LinkedIn's privacy posture. + Provide technical guidance and mentorship to engineers within the team. + Ensure systems comply with relevant privacy laws and regulations (e.g., GDPR, CCPA). What we are looking for + Extensive software engineering experience with a proven track record of building large-scale systems. + Deep understanding of privacy principles and regulatory frameworks (e.g., GDPR, CCPA). + Strong technical leadership skills with the ability to influence cross-functional stakeholders. + Experience designing and implementing policy enforcement systems or privacy-centric architectures. + Expertise in data governance, security, and encryption technologies. + Excellent communication skills to translate complex privacy requirements into technical solutions. + Demonstrated ability to build and lead high-performing engineering teams. Basic Qualifications: + BS/BA in Computer Science or related technical field or equivalent technical experience + 10+ years of experience in software design, building solutions + 5+ years in a technical leadership position Preferred Qualifications: + 12+ years of experience in software design + 5+ of those years in a technical leadership position + Experience Data Privacy & Governance Infrastructure + Experience leading and influencing within large, matrixed organization + Experience leading high-impact, cross-organization initiatives. Suggest Skills + Data Privacy Infrastructure + Data Governance 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 $290,000 to $440,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. We are seeking a 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 Staff Software 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. From time to time you may have to jump in to do hands-on coding and often review PRs from other engineers and guide them towards clean, efficient, bug-free code. You should inspire the team to maintain code hygiene, unit testing, test coverage and other better engineering practices. 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. 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. Qualifications Basic Qualifications: * 10+ years of industry experience in software design, development, and algorithm related solutions * 10+ 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 * 4+ 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: * MS Degree in Computer Science or related technical discipline, or equivalent practical experience * Experience working in the site reliability space * Professional experience working in the technology industry * 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: * Large Distributed Systems * Architecture * Developing technology strategies at a company-wide scale. * Technical leadership * Cross functional work Additional Information 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 $226,000 - $369,000. 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 We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. 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 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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 or San Francisco. 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 Description At LinkedIn, the Service Infrastructure (SI) organization provides the foundation for all online services to run reliably, efficiently, and at scale. We power core technologies that enable every product team at LinkedIn to build, deploy, and operate their services seamlessly. gRPC is at the heart of LinkedIn's inter-service communication, connecting thousands of services across multiple programming languages. Our mission is to define and drive the future of gRPC at LinkedIn, evolving the infrastructure to improve reliability, performance, developer experience, and scalability while reducing complexity and operational cost. As a Principal Staff Engineer in Service Infrastructure, you will be the primary domain expert for gRPC and play a critical role in shaping the long-term direction of inter-service communication at LinkedIn. You will lead foundational projects, set technical strategy, and provide thought leadership that impacts every service and developer at LinkedIn. Responsibilities + Define the long-term technical direction for gRPC at LinkedIn, balancing scalability, reliability, developer experience, and efficiency. + Lead large-scale gRPC infrastructure initiatives, including evolution from bridged to native gRPC, support for multiple programming languages, and alignment with LinkedIn's platform vision. + Provide architectural leadership across the engineering organization, setting the bar for performance, resiliency, and security in LinkedIn's RPC stack. + Partner with other senior engineers and managers to drive cross-functional alignment on gRPC strategy and execution. + Influence how gRPC integrates with the broader service platform, including dependency management, observability, configuration, and deployment. + Act as a mentor and technical leader, raising the bar for craftsmanship and guiding engineers across multiple teams. + Represent LinkedIn externally as an industry thought leader, sharing best practices and innovations in large-scale RPC systems. + Establish a culture of innovation, quality, and operational excellence, ensuring that design and architectural choices optimize for developer productivity and business impact. + Anticipate future needs in scale and efficiency, and proactively identify infrastructure gaps and solutions. Basic Qualifications: + BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience. + 7+ years of industry experience in software design, distributed systems, or infrastructure engineering. + 7+ years of experience in programming languages such as Java, Go, C++, Python, or Rust. + 5+ years in an architect or technical leadership role. + Experience with distributed systems, networking, or inter-service communication protocols (e.g., gRPC, HTTP/2, RPC frameworks). Preferred Qualifications: + Experience building and operating large-scale, high-performance infrastructure serving millions of requests per second. + Expertise in gRPC or equivalent RPC/communication technologies at scale. + Deep understanding of distributed systems concepts: reliability, fault tolerance, scalability, and performance optimization. + Experience influencing company-wide technical direction and aligning diverse teams toward a common strategy. + Demonstrated ability to simplify complex infrastructure problems into developer-friendly solutions. + Excellent communication skills, with a track record of influencing senior leaders and external communities. + Experience mentoring engineers and cultivating a strong engineering culture. Suggest Skills + Distributed systems + Service Infrastructure + gRPC or equivalent RPC + Developing technology strategies at a company-wide scale. + 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 $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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. 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. The team builds high-quality products and services to ensure the health and reliability of LinkedIn at scale. Our products empower LinkedIn engineers to deliver value to members at a high velocity and without defects. We strive to prevent these defects early in the SDLC process, automating solutions to mitigate issues on behalf of engineers when possible. In addition, our metrics have high visibility across R&D and are leveraged by the lines of business to drive long-term strategy and investment in their organizations. As a Technical Lead on the Edge and Traffic team, you will drive the technical direction and development of LinkedIn's traffic engineering, content delivery, and load balancing infrastructure. You will play a critical role in shaping the scalability, reliability, and efficiency of our global traffic systems while collaborating closely with engineers across product and infrastructure teams to build the next generation of high-performance networking solutions. Responsibilities + Develop and drive technical roadmaps for LinkedIn's content delivery, proxy, traffic routing, and load balancing infrastructure. + Establish engineering and design best practices for building high-scale, reliable, and performant traffic systems. + Lead design reviews, incident post-mortems, and production readiness reviews, ensuring adherence to reliability and scalability standards. + Significantly contribute to the design and development of key projects, providing hands-on engineering leadership. + Collaborate closely with workload owners to identify and address both current and emerging technical requirements. + Design, deploy, and optimize traffic routing and security over multiple content delivery networks. + Implement and maintain proxy systems to enhance traffic distribution, load balancing, and fault tolerance. + Drive automation, observability, and fault tolerance initiatives, reducing downtime and improving MTTR (Mean Time to Recovery). + Analyze network traffic telemetry to optimize load balancing, manage traffic spikes, and plan for future capacity needs. + Establish and monitor key performance metrics, SLAs, and SLOs for DNS and traffic routing systems. + Act as a technical mentor, recruiting, developing, and coaching junior engineers to strengthen the team's expertise. Basic Qualifications + Bachelor's degree in Computer Science, Network Engineering, Electrical Engineering, or equivalent experience + 8+ years of experience in network infrastructure, site reliability engineering, or large-scale distributed systems. + Expertise in traffic engineering, load balancing, and DNS resolution in high-scale, globally distributed environments. + Coding experience in one or more languages such as Python, Go, Java, or C++. Preferred Qualifications + MS or PhD degree in Computer Science or related technical discipline + 10+ years experience working in cloud-scale or web-scale environments. + Deep understanding of edge networks, CDNs, and software-defined networking (SDN). + Experience with networking protocols and traffic management technologies (e.g., BGP, Anycast, TLS, HTTP/2, QUIC). + Hands-on experience with traffic routing platforms such as IPVS, Apache Traffic Server (ATS), HAProxy, or Envoy. + Proven ability to drive architectural decisions, solve complex scaling challenges, and optimize system performance. + Excellent communication and collaboration skills, with the ability to influence and align cross-functional teams. Suggest Skills + Edge & Network Engineering + Load Balancing + Distributed Systems + 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 $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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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 Description At LinkedIn, our Online Infrastructure organization powers systems and technologies that enable rich, online access to LinkedIn's economic graph data and insights for all of LinkedIn's online features and capabilities. We do this by building cutting edge and innovative planet-scale HA systems, and by relentlessly pursuing operational excellence and customer obsession to support LinkedIn's product teams. The Graph and Online Analytics Infrastructure group in the Online Infra organization is at the cutting edge of building online distributed databases and services that power real-time insights and graph traversals for our members directly and as critical real-time computations for our member-facing features like recommender systems, targeting and personalization use cases. As part of the Graph and Online Analytics Infrastructure group, you will have the opportunity to devise and own our multi-year, multi-systems Online Analytics strategy to support LinkedIn's growth at this critical juncture of our AI transformation for our members, customers and for ourselves. You will be driving LinkedIn's Online Analytics strategy and its implementation with the rigor and pragmatism demonstrated by your world-class expertise in the domain and prior successes in generating critical business outcomes. You will play a pivotal role in building systems and services in the domain, developing talent, augmenting culture of rigor and customer obsession and partner across Product Platforms, Online Infra and across the company to realize the benefits of online and real-time analytics at scale. As the primary domain expert, you are expected to provide technical leadership, drive architectural decisions and implementation across the group. You will research, develop, build and ship cutting edge technologies in partnership with the group to achieve Linkedin' business goals. You will inculcate and reinforce rigor, operational excellence and customer obsession in our group and our organization. Responsibilities + Architect Real-Time Analytics Platforms: Design and implement distributed query engines and APIs for sub-second latency across heterogeneous systems. + Own and Evolve Core Systems: Drive the roadmap, scalability, and operational excellence of our existing web-scale analytics systems; ensure these systems meet future analytics demands. + Drive Service and Operational Excellence: Define and drive service and operational excellence for online analytics services at consumer-internet scale. + Culture Builder: Establish and nurture a culture of customer obsession and business impact, combined with high rigor, technical craft, and innovation. + Cross-System Optimization: Lead architectural decisions for query planning, caching, and optimizations across multiple engines. + Technical Leadership: Mentor senior engineers, set technical standards, and foster a culture of excellence. + Industry Engagement: Represent the organization in real-time analytics forums Basic Qualifications + BS in Computer Science or equivalent. + 10+ years in distributed systems and real-time analytics platforms. + 5+ years in technical leadership roles for OLAP or real-time query engines. + Experience in developing and scaling large scale databases or analytics systems + Experience with building columnar storage, vectorized execution, and cost-based optimizers. + Experience with coding in Java, C++, or Rust; knowledge of query execution, indexing, and concurrency. Preferred Qualifications + MS/PhD in Computer Science or related field. + Experience with distributed online analytics systems and databases. + Expertise in query federation, semantic modeling, and BI integration. + Expertise with columnar storage, vectorized execution, and rule-based as well as cost-based optimizers. + Experience building interactive services or analytics APIs for large-scale systems. + Experience with communication and ability to influence cross-functional teams. + Background in industry thought leadership. + Demonstrated ability to align technical decisions with business outcomes and drive customer-centric innovation. Suggested Skills: + Distributed Systems design + Real-time analytics platforms + Cloud-native architecture + Deep understanding of concurrency, distributed algorithms, and data structures. + Familiarity with columnar storage, vectorized execution, and query optimizers. 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 $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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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, 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. LinkedIn Marketing Solutions (LMS) allows organizations to connect with the world's largest community of business professionals by serving ad content to our members through a variety of products and platforms. The Audience, Identity and Measurement (AIM) team is at the forefront of industry innovations related to privacy, identity, and ads performance measurement. The team is responsible for building the ads data platforms leveraged within LinkedIn Marketing Solutions and across LinkedIn along with the product experiences that deliver powerful and actionable insights to our advertising customers on the performance of their ads campaigns. This team builds the end-to-end systems related to privacy-centric ads data collection, validation, modeling and analysis, ads attribution (i.e, cause & effect), and impact analysis and ROI performance reporting. **Responsibilities:** + You will build and ship software at scale to deliver impact + You will drive architectural decisions and implementation across the engineering organization. + 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 establish a culture that values diverse viewpoints while navigating complex decisions. + 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 the primary domain expert to influence technology choices. + You will lead by example to build a culture of craftsmanship and innovation. **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 + 7+ years of industry experience. + 5+ years in an architect or technical leadership position **Preferred Qualifications:** + BS and 12+ years of relevant work experience, MS and 10+ years of relevant work experience, or PhD and 8+ years of relevant work experience. + Experience in designing and implementing technologies for highly distributed platforms. + Familiarity with multiple platforms (Linux, Windows, etc.), languages (C++, Python, etc.). + Experience in the Advertising/Marketing Industry particularly with Ads Measurement + Experience in Data Science, Machine Learning and Artificial Intelligence. + Experience designing and building scalable agentic systems. **Suggested Skills:** + Software Engineering + Technical leadership + Online advertising + Technology Strategy + Cross-functional work **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 $209,000 - $343,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. 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 $198,000 to $326,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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 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 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. Qualifications 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 LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $198,000 to $326,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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 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. This role is based in our Mountain View, CA office. We are seeking a Senior Staff Software Engineer to lead LinkedIn's Field Commercial team which is the core team that owns the platform and infrastructure responsible for enabling LinkedIn to process north of $15 billion in annual revenue. They will lead our configure-price-quote engine for LinkedIn's Field and Online businesses, which sits at the intersection of large scale infrastructure, platform, and end user experiences. This technical leader will help us enable omnichannel sales motions for LinkedIn's growing business lines, architecting new commercial models that evolve from per seat to a value based offering as we bring agentic products to life. They will be responsible for innovating how we price, package, and sell enterprise products with insights on utilization and renewals. Responsibilities: * You will deliver impact by driving innovation while building and shipping software at scale. * You will work closely with and influence product and/or technology partners regularly to help define a long-term technology roadmap. * 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. * You will execute on product and technical workstreams by collaborating with engineering, product managers, designers, other software development teams, and business partners * You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship. * You will resolve conflicts between teams within the organization to get alignment and build team culture. * You will create a collaborative work environment that fosters autonomy, transparency, innovation, and learning. Qualifications Basic Qualifications: * BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience- * 5+ years of experience in software design, development, and algorithm related solutions * 5+ years of experience with large-scale distributed systems and client-server architectures * 5+ years of experience in programming languages such as Python, Java, Rust, C#, C/C++ * 3+ years of experience in an architect or technical leadership position Preferred Qualifications: * 10+ years of experience in software design, development, and algorithm related solutions * Experience building large-scale consumer products * Experience in leading cross-organization, cross-functional efforts and successfully delivering transformational technology for hard problems * Active involvement in the creation and execution of technical strategies and roadmaps * Experience in Machine Learning implementing and productionalizing deep reinforcement learning models * Experience with Subscription Models, SaaS, or Commerce domain. Suggested Skills * Technical Leadership * Distributed Systems * Machine Learning 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 $181,000 to $297,000. 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 ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. 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 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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, 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. The team is part of the Developer Platform Experience organization with the mission to empower LinkedIn engineers to ship high quality products, with confidence and high velocity. We provide infrastructure, tooling and experiences that enable and promote automatic validations, diagnostics and analytics across various stages of the development lifecycle and various technology stacks. We partner with organizations and engineering teams across the company to build the right strategy and investments that boost engineering productivity and product quality. As a Senior Staff Software Engineer, you will be responsible for shaping the company-wide vision for accelerating developer productivity through data and insights, in partnership with engineering leaders across the company. You will be driving investments based on anything from industry best practices to innovative new AI technologies, need to address unique LinkedIn challenges and adapting to the rapidly-evolving engineering landscape. The responsibilities include, but not limited to, building smart data collection, processing and actionable insights generation machinery with the goal of enabling your fellow engineers to maximize their productivity towards delivering on LinkedIn's vision of creating economic opportunity for every member of the global workforce. **Responsibilities:** + Driving company level developer productivity uplift through data and insights. + Shape and execute on the developer productivity analytics and insights strategy across the company. + Provide effective data and actionable insights driven guidance to Developer Productivity strategy at the company level. + Own and drive the technical roadmap and architecture for the developer productivity analytics and insights infrastructure and processes + Continuously improve telemetry coverage/quality and tighten definitions to evolve metrics that drive better business decisions. + Help maximize developer productivity gains by guiding proper application of AI tools and technologies to accelerate pace of engineering at the company level. + Build innovative telemetry and analytics solutions by leveraging best of breed AI tools & technologies in the developer productivity domain. + Quantify outcomes when randomized tests aren't feasible, using sound alternatives and communicating assumptions and limits clearly. + Own, manage and extend services and infrastructure, constantly improving and adding new features, while driving operational excellence. + Promote and drive best practices and industry standards across the company. + Partner with engineers and teams across the company to guide, influence and iterate on their dev productivity strategies and build best in class developer productivity solutions. + Lead and mentor the next generation of engineering leaders by building a culture of craftsmanship and innovation. **Basic Qualifications:** + BA/BS Degree in Computer Science or related technical discipline, or related practical experience. + 5+ years of experience in software design, development, and algorithm related solutions + 5+ years of experience in programming languages such as Python, Java, C/C++, C# + 2+ years of experience in an architect or technical leadership position **Preferred Qualifications:** + BS and 10+ years of relevant work experience, MS and 8+ years of relevant work experience, or PhD and 6+ years of relevant work experience. + Strong hands-on experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems. + Extremely passionate about data and insights as a key driver of organization engineering success. + Development experience with AI tools like Cursor, Claude Code, Github co-pilot + Proven record of measurement strategy in developer productivity - Crafting pragmatic plans, drive alignment across teams, and clearly present pros/cons to earn stakeholder buy-in. + Experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely introduce change into production environments. + Demonstrable experience with application of data and insights to improve organizational engineering practices. + Experience designing and building data processing applications, pipelines and infrastructure at scale. + Strong hands-on experience with data processing pipeline technologies such as Spark, Flink, Trino, Airflow, Dagster, Openhouse, Lakehouse, Icerberg and Kafka. + Experience with large-scale distributed systems and client-server architectures. + Experience with strategic planning, executing on a long term roadmap, team development and scaling processes to support business growth. + Experience leading by influence, formulating and driving technical strategies across various organizations. **Suggested Skills:** + Technical Leadership + Backend development + Developer Productivity + Applications + Large projects **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 $181,000 to $297,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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, 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. This role is based in our Mountain View, CA office. We are seeking a Senior Staff Software Engineer to lead LinkedIn's Field Commercial team which is the core team that owns the platform and infrastructure responsible for enabling LinkedIn to process north of $15 billion in annual revenue. They will lead our configure-price-quote engine for LinkedIn's Field and Online businesses, which sits at the intersection of large scale infrastructure, platform, and end user experiences. This technical leader will help us enable omnichannel sales motions for LinkedIn's growing business lines, architecting new commercial models that evolve from per seat to a value based offering as we bring agentic products to life. They will be responsible for innovating how we price, package, and sell enterprise products with insights on utilization and renewals. Responsibilities: + You will deliver impact by driving innovation while building and shipping software at scale. + You will work closely with and influence product and/or technology partners regularly to help define a long-term technology roadmap. + 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. + You will execute on product and technical workstreams by collaborating with engineering, product managers, designers, other software development teams, and business partners + You will be a role model and professional coach for engineers with a strong bias for action and focus on craftsmanship. + You will resolve conflicts between teams within the organization to get alignment and build team culture. + You will create a collaborative work environment that fosters autonomy, transparency, innovation, and learning. Basic Qualifications: + BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience- + 5+ years of experience in software design, development, and algorithm related solutions + 5+ years of experience with large-scale distributed systems and client-server architectures + 5+ years of experience in programming languages such as Python, Java, Rust, C#, C/C++ 3+ years of experience in an architect or technical leadership position Preferred Qualifications: + 10+ years of experience in software design, development, and algorithm related solutions + Experience building large-scale consumer products + Experience in leading cross-organization, cross-functional efforts and successfully delivering transformational technology for hard problems + Active involvement in the creation and execution of technical strategies and roadmaps + Experience in Machine Learning implementing and productionalizing deep reinforcement learning models + Experience with Subscription Models, SaaS, or Commerce domain. Suggested Skills + Technical Leadership + Distributed Systems + Machine Learning 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 $181,000 to $297,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description Join us to transform the way the world works. 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. 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. Qualifications 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 $152,000 - $248,000. 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: ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. 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 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

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, 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. This position will be hybrid in LinkedIn's Mountain View, CA campus. Team Description: The Network Infrastructure Software team develops platforms that power intent-based, automated network operations for large-scale data center networks. Our work enables engineers to express what the network should do and rely on software to safely and consistently handle how it gets done. By standardizing and automating provisioning, configuration, security, and operations, we reduce manual intervention, improve observability, and shorten MTTD and MTTR while maintaining high standards for correctness, security, and availability. As a Staff Software Engineer, you will provide technical leadership in building and evolving these platforms at scale. You will design systems that translate intent into reliable automation, collaborate across engineering and operations teams, and make thoughtful trade-offs across reliability, performance, security, and developer experience. This role calls for strong software engineering fundamentals, practical networking knowledge, and the ability to deliver solutions that operate dependably in real-world production environments. Responsibilities: + Provide technical leadership across the full lifecycle of network infrastructure software, including design, development, testing, deployment, and ongoing operation, with a focus on scalability, performance, and 24x7 reliability. + Build high-quality, production-grade software with strong engineering discipline, including comprehensive testing, code reviews, and continuous integration. + Partner closely with network engineering and application teams to shape the technical direction of LinkedIn's networking platforms, applying modern networking technologies and making informed architectural trade-offs. + Raise the bar for engineering excellence by defining best practices, driving technical rigor, and mentoring engineers across the team. + Define and evolve SLIs and SLOs, strengthen observability, and lead incident reviews and long-term corrective actions by partnering across network engineering, security, and infrastructure teams to align on requirements, interfaces, and rollout plans. 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 Golang, Python, Java, C++, Rust. + Experience with network protocols such as TCP/IP, BGP, MPLS, RDMA, network overlay technologies, and network-based Quality of Service (QoS). 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. + Network automation / infrastructure platforms experience (configuration/change management, device lifecycle, audits/assurance, topology/state). + Experience in architecting, building, and operating large-scale distributed systems running in a 24x7 production environment. + Experience or knowledge in networking programming, such as Software Defined Networking (SDN), intent-based configuration management, RDMA/RoCEv2, Segment Routing, and network congestion control algorithms. + Experience or knowledge in SONiC Network Operating System, Kubernetes & CNI, host networking / TCP tuning. + Experience or knowledge in network management, configuration generation and provisioning systems and tools. Ansible, REST/gRPC, NETCONF, Jenkins, Puppet, YANG, OpenConfig, etc. Suggested Skills: · Technical Leadership · Architectural Mastery · Code Review and Quality Assurance · Network Infrastructure Software · 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 $152,000 - $248,000. 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** We seek candidates with a wide range of perspectives and backgrounds and we are 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 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. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **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 ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************