Staff Software Engineer Jobs At Equinix

: 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, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Responsibilities: · You will own the front-end development for one or more of our products and collaborate with visual/interaction designers, other engineers, and product managers to launch new products, iterate on existing features, and build a world-class user experience. · You will implement cutting-edge technologies and will be writing state-of-the-art code to keep LinkedIn at the cutting edge of current technology. · Your specific expertise will be required to make the site delightful, secure, performant and accessible to all our members. · You will meet with colleagues including product managers, designers and other engineers assigned to your project(s). Basic Qualifications: • BA/BS in Computer Science or related technical field or equivalent practical experience • 2+ years of industry experience in software design, development, and algorithm related solutions. • 2+ years programming experience in languages such as Javascript, HTML, CSS, Python, Java, C/C++, C#, Objective-C, Ruby, etc. Preferred Qualifications: · BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience. · Experience writing clean JavaScript including experience with modern frameworks (Angular/Ember/React) and debugging tools (Chrome Dev Tools, etc. ) · Expert-level knowledge of Ember. · Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability. · Prior experience building public API's with Java. · Experience building large-scale consumer facing products. Suggested Skills: · Javascript · HTML/CSS · Web Development · Advanced Programming Skills 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 $117,000 - $192,000. 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Responsibilities: · You will develop tools to improve our ability to rapidly deploy and effectively monitor custom applications in a large-scale Linux environment. · You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. · You will produce high quality software that is unit tested, code reviewed and checked in regularly for continuous integration. · You will serve as a primary point responsible for the overall health, performance, and capacity of one or more of our Internet-facing services. · You will assist in the roll-out and ramp up of new product features and technologies to facilitate our rapid iteration and constant growth. · You will gain deep knowledge of our complex applications and operate effectively in a fast-paced, rapidly changing environment. · You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Basic Qualifications: · BS (or higher, e.g., MS, or PhD) in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience. · 4+ years of industry experience in software design, development, and algorithm related solutions. · 4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C, or Ruby. Preferred Qualifications: · BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience. · Experience in designing and building infrastructure and web services at large scale. · Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. · Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. · Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. · Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. · Experience with Linux operating systems and troubleshooting production systems at scale. Suggested Skills: · Technical Leadership · Advanced Programming Skills · Code Review and Quality Assurance · Advanced Software Design & Architecture · Mentoring and Knowledge Sharing You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000 to $240,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what's best for you and when it is important for your team to be together. Job Description As a staff member of the Compute Infrastructure team at LinkedIn, you will be charged with building the next-generation infrastructure and platforms for LinkedIn. This is a unique opportunity to work on a high-profile, high-impact ongoing project that will touch every aspect of our engineering organization. Specifically, the LinkedIn Kubernetes Infrastructure team provides an on-premises Kubernetes platform for the entire company. The team provides capability to efficiently create Kubernetes clusters on-demand, build multi-clusters solutions, automate upgrades, and intelligently detect and remediate cluster health, etc. In this role, you will be responsible for designing and implementing solutions that will enable LinkedIn to scale its Compute Infrastructure to meet the demands of a rapidly growing user base. This will involve working closely with a team of experienced engineers to develop and operate solutions that are robust, scalable, and efficient. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced, dynamic environment. Responsibilities: - You will own the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. - You will design, implement, and optimize the performance of large-scale distributed systems with security and compliance in mind. - You will Improve the observability and understandability of various systems with a focus on improving developer productivity and system sustenance - You will communicate with the team, partners and stakeholders. - You will mentor other engineers, define our challenging technical culture, and help to build a fast-growing team - You will deliver incremental impact by driving innovation while iteratively building and shipping software at scale - You will diagnose technical problems, debug in production environments, and automate routine tasks Basic Qualifications - BA/BS Degree in Computer Science or related technical discipline, or related practical experience. - 4+ years of industry experience in software design, development, and algorithm related solutions. - 4+ years experience programming in object-oriented languages such as Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages - Hands on experience developing distributed systems, large-scale systems, databases and/or Backend APIs Preferred Qualifications - BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience - Experience in architecting, building, and running large-scale distributed systems - Experience with Kubernetes (or similar) Ecosystem - Experience with Kubernetes controller development, automating cluster management - Golang coding experience - Experience with industry, open source, and/or academic research in technologies such as Hadoop, Spark, Kubernetes, Feather, GraphQL, GRPC, Apache Kafka, Pinot, Samza or Venice - Experience with open-source project management and governance Suggested Skills: -Distributed Systems -Golang -Technical Leadership You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $156,000 to $255,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn was built to help professionals achieve more in their careers, and every day, millions of people use our products to connect, discover opportunities, and gain insights. Our global reach allows us to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume-we transform lives through innovative products and technology. Searching for your next big opportunity? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. We believe that leadership is about fostering growth, maintaining balance, and achieving results. Our leaders value their craft, inspire their teams, and set the standard for high-quality work. They drive the strategy and implementation of critical initiatives, motivating and developing their teams to make a lasting impact on our business and community. Job Description At LinkedIn, 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. Help shape the future of how we discover, trust, and manage data. We're looking for a visionary and deeply technical Principal Staff Engineer to join our Data Management organization and lead the charge in building world-class solutions for data discovery, observability, and quality. This is a pivotal role for a senior technologist who thrives at the intersection of data infrastructure, distributed systems, and metadata intelligence. If you've built large-scale data platforms, contributed to data catalogs or semantic search engines, and care deeply about making data reliable and discoverable-this is your opportunity to lead that transformation at scale Responsibilities: Architectural Leadership: -Define and evolve the long-term technical vision for data discovery and data quality across the organization. -Design and lead implementation of scalable, low-latency systems for metadata, data quality signals, and observability. -Evaluate new architectures, tools, and frameworks-and lead their adoption across the platform. -Set engineering standards, guide system design reviews, and mentor other engineers. Data Platform, Metadata and Data Discovery Expertise -Architect systems that unify structured and unstructured metadata to make data assets easier to find, understand, and trust. -Develop mechanisms to automatically assess data freshness, completeness, and reliability across the data lifecycle. -Deep expertise in one or more of data platforms, data quality, data catalogs, data discovery. Operational Excellence: -Drive improvements in system observability, monitoring, and alerting. -Lead efforts to improve system reliability, availability, and maintainability. -Participate in incident response and root cause analysis. -Champion best practices for software development, testing, and deployment. Collaboration and Communication: -Effectively communicate complex technical concepts to both technical and non-technical audiences. -Collaborate with cross-functional teams, 1 including product, operations, and data science 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 with data platforms, data discovery, data quality and data observability. Experience leading and influencing within large, matrixed organization Experience leading high-impact, cross-organization initiatives. Suggested skills - Data Platforms and Data Discovery - Data Quality and Data Observability. - 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 $207,000 to $340,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************* Equal Opportunity Statement 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn was built to help professionals achieve more in their careers, and every day, millions of people use our products to connect, discover opportunities, and gain insights. Our global reach allows us to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume-we transform lives through innovative products and technology. Searching for your next big opportunity? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. We believe that leadership is about fostering growth, maintaining balance, and achieving results. Our leaders value their craft, inspire their teams, and set the standard for high-quality work. They drive the strategy and implementation of critical initiatives, motivating and developing their teams to make a lasting impact on our business and community. Job Description At LinkedIn, 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. We are looking for a Principal-level Technical Lead for the Big Data Platform infrastructure organization in LinkedIn. The candidate would be the organizational leader's technical partner in building end-to-end solutions for the platform. The organization includes orchestrators, data processing query engines, streams compute, data warehouse, and catalog. The candidate should have proven experience in most of these technologies so that the person can help design and lead end-to-end solutions that span the entire platform. This would include partnering with the technical leads to help build solutions in the following areas: Building a seamless managed data experience for the platform users Strategize and help build a single multipurpose query engine that spans both batch and streams compute. Strategizing on the SQL-first strategy for infrastructure. Building an observable platform that has true end-to-end error handling. The candidate is expected to work with partners and customer stakeholders to strategize and lead solutions along with a deep hands-on approach to problem-solving. The candidate should have demonstrated strong leadership skills with a focus on customer experience and quality. Basic Qualifications: BS/BA in Computer Science or related technical field or equivalent technical experience 10+ years of experience in software design, building solutions Preferred Qualifications: 12+ years' experience in software design 5+ of those years in a technical leadership position Experience with big data platform infrastructure Experience leading and influencing within large, matrixed organization Experience leading high-impact, cross-organization initiatives. "Suggested skills" - big data platform infrastructure - Developing technology strategies at a company-wide scale. - Technical leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $207,000 to $340,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************* Equal Opportunity Statement 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

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, 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. 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 highly skilled Principal Staff Software Engineer to join our Enterprise Innovation team in designing for the “Future of Work.” You will shape the future of employee productivity through AI, automation, and knowledge systems. You will collaborate with cross-functional teams to design, develop, and implement innovative solutions that enhance employee efficiency and the overall employee experience. Key Responsibilities: Lead the design and development of AI-driven platforms and solutions to improve employee productivity. Develop and implement automation tools and systems to streamline workflows and processes. Create intelligent knowledge systems that provide employees with timely information. Collaborate with product managers, designers, and other engineers to deliver high-quality software. Mentor and guide junior engineers, fostering a culture of continuous learning. Stay updated on advancements in AI, automation, and knowledge systems, applying them to our products and processes. Basic Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in software design/development 7+ years in a technical leadership role overseeing large, cross-functional teams.. 7+ years experience in/with programming skills in languages such as Python, Java, or C++ Preferred Qualifications: 12+ years experience in software design/development Experience with large scale automation across key enterprise personas Proven track record of leading and delivering complex software projects. Strong programming skills in languages such as Python, Java, or C++. Applying machine learning frameworks and tools (e.g., TensorFlow, PyTorch). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work in a fast-paced, dynamic environment. Hands-on involvement with large-scale distributed systems and client-server architectures. Familiarity with Data Infrastructure tech stacks: Kafka/PubSub systems, Flink, Airflow. In-depth knowledge of AI/machine learning and data analytics. Skilled at leading and influencing within large, matrixed organizations. Track record of leading high-impact, cross-organization initiatives. Background with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong knowledge of data science and big data technologies. Proficiency with Agile development methodologies. Suggested Skills: -Full stack -AI automation -Software Design LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $203,000 to $333,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. 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 homework location upon time of hire, and any changes to this home work location requires a review of remote status and approval. The Dev Platforms and Experiences (DPX) organization has the mission of making everyone in LinkedIn R&D more productive and successful. The charter includes all our core developer infrastructure to Build, Test and Deploy our software, the applications frameworks that we leverage to build our user facing products and the Platform capabilities that power our product innovation. As a Principal Staff Software Engineer within the DPX Quality team, you will help envision the next generation of testing and quality infrastructure that will make working at LinkedIn a delightful experience for our R&D teams. As a key member of this team, you will get an opportunity to influence, transform, and create an amazing experience for engineers at LinkedIn. You will identify, develop, and lead strategic investments to make development iterations faster and make step function improvements in the lives of developers. You will have the opportunity to engage the industry-wide developer community and contribute to open-source software as well. The successful candidate will be a strong thought leader in the developer productivity space. Responsibilities: • Grow, develop, and mentor a team that provides engineering systems which enable all LinkedIn developers to build services for LinkedIn members and Enterprise customers productively, with consistently high quality, and with minimal friction. • Work across Engineering to build relationships with other teams and use their feedback and understand their goals to build and prioritize a strategy and roadmap for your team, and for products that may span multiple teams. • Own the design, development, testing, deployment and craft of your team's infrastructure and systems, with high reliability and scalability. • Leverage your deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues. • Build operational excellence roadmaps, drive adoption of best practices from design to delivery, and improve developer feature/code velocity. Basic Qualifications: • BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience • 8+ years of programming experience in Java, C++, C# or similar programming languages • 8+ years of experience building large-scale distributed systems, applications Preferred Qualifications: • Dream big. Make big, bold moves to define and build the next generation of developer infra and inspire others to do the same • Excellent communication and presentation skills with an ability to communicate technical strategy and roadmap in a clear, precise, and actionable manner • Master's degree or higher in Computer Science or related field • Experience developing testing & quality developer infrastructure ranging from front-end, application, and infrastructure developers. • Experience with developing developer infra and service, including development and code collaboration environments, CI/CD platforms, and measuring software development productivity and quality. • Deep understanding of the Software development Life Cycle and related build and test systems. • Shipped several large-scale projects with multiple dependencies across teams • Engagement in coaching and mentoring fellow engineers in their careers • Experience attracting, retaining, and developing engineering and operations talent throughout the industry Suggested Skills: • Technical Leadership • Experience developing technical strategy • Developer Tools & Automation • Quality & Testing Infrastructure 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 $203,000 - $333,000. 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As part of our world-class software engineering team, you will take the lead in building the next-generation infrastructure and platforms for LinkedIn, including but not limited to: scalable data storage infrastructure, streams processing and data pipelines, cutting-edge search platform, best-in-class AI/ML infrastructure, Kubernetes compute infrastructure, etc. You will work and learn among the best, putting to use your passion for distributed technologies and algorithms, API design and systems design, and your passion for writing code that performs at massive scale. LinkedIn has pioneered many well-known open-source infrastructure projects including Apache Kafka, Pinot, Azkaban, Samza, Venice, Datahub, Feathr, etc. We also work with industry standard open source infrastructure technologies like Kubernetes, GRPC, Apache Flink, and GraphQL - come join our infrastructure teams and share the knowledge with a broader community while making a real impact within our company. As a Sr. Staff Software Engineer, you will be a key technical leader and role model within the organization. We are looking for a technical lead who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. You will foster LinkedIn's culture and values around transformation, collaboration and results driving key technology adoption and seamless platform migrations. You will work closely with technical leadership and management within and outside our organization to contribute to building best-in-class core systems infrastructure for LinkedIn. Responsibilities: -Deliver impact by driving innovation while building and shipping software at scale -Provide architectural guidance and mentorship to up-level the engineering organization -Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies -Design products/services/tools and code that can be used by others while upholding operational impact of all decisions -Functioning as the tech-lead for multiple key initiatives, identify problems and opportunities and lead teams to architect, design, implement and operationalize systems -Partner closely with teams within the org and customers to execute on the vision for long-term success of our core infrastructure teams -Working closely with the open-source community to participate and influence cutting edge open-source projects. -Keep a platform first approach while designing products/service Basic Qualifications: - BS/BA in Computer Science or related technical field or equivalent technical experience - 5+ years of industry experience in software design, development, and algorithm related solutions - 5+ years of experience programming in object-oriented languages such as C/C++, Java, Go, Rust, Python, Scala - 2+ years of experience as an architect, or technical leadership position - Hands-on experience developing large-scale, distributed systems, stream-processing and databases Preferred Qualifications: - MS or PhD degree in Computer Science or related technical discipline - 10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position - 10+ years of experience in an object-oriented programming language such as C/C++, Java, Go, Rust, Python, Scala - 5+ years of experience with large-scale distributed systems and client-server architectures - Experience in architecting and designing large-scale distributed systems related to data infrastructure, IaaS, ML/AI infrastructure, storage, graph, stream-processing, Pub/Sub systems, Kubernetes, and platforms. Suggested Skills: -Distributed Systems -Technical Leadership -Infrastructure Reliability -Systems Infrastructure LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $191,000 to $315,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Join us to push the boundaries of scaling AI. The AI Infra team is responsible for scaling LinkedIn's AI model training, feature engineering and serving with hundreds of billions of parameters models 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. In this role, you will be responsible for implementing and deploying AI models on the Field Programmable Field Array (FPGA) hardware. You will integrate FPGAs in our current CPU and GPU fleet, and develop high-performance and power-efficient FPGA solutions for the large scale AI models. As a Sr. Staff Engineer on the AI Infra team, you will play a crucial role in building the next-gen AI inference infrastructure. You will design and implement FPGA kernels in High Level Specification (HLS) or Hardware Description Language (Verilog, VHDL) and the host code to connect with the kernels. You will be responsible for the kernel development lifecycle (including but not limited to synthesis, place-and-route, timing analysis, validation and verification) and deploy them on hardware platforms (such as AMD Alveo) in LinkedIn data centers. You will develop toolchains to generate FPGA kernels from high-level AI frameworks such as PyTorch, Tensorflow, JAX. You will also develop tooling for monitoring and observability of AI models running on FPGA. This role gives you the unique opportunity to work with a wide spectrum of AI practitioners, AI Infra, Compute Infra, and Data Center Infra teams. Responsibilities Deliver impact by driving innovation while building and shipping software at scale Design, implement, and optimize the performance of large-scale AI models on FPGA for personalized recommendation, large language models, and video models. Improve the observability and understandability of the FPGA fleet with a focus on improving developer productivity and system sustenance. Provide architectural guidance on modern FPGA platforms, tools, and workflows to up-level the engineering organization Mentor other engineers, define our challenging technical culture, and help to build a fast-growing team. Function 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 hardware design, software design, and algorithm related solutions 5+ years of experience programming in HLS or HDL languages such as C++, SystemC, Verilog, VHDL; and software languages such as Python 5+ years of experience with FPGA development software such as AMD Vitis and Vivado, Intel Quartus. 2+ years of experience as an architect, or technical leadership position Hands-on experience developing FPGA hardware solutions and deployment at scale. Familiarity with deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX 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 2+ years of experience in hardware acceleration of AI/ML models Experience in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Familiarity with building ML applications, LLM serving, GPU serving. Familiarity with containers and container orchestration systems Outstanding interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment with other SRE/SWE Engineers, Project Managers, etc. Suggested Skills: FPGA development AI/ML hardware acceleration Systems Infrastructure LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As a Sr. Staff Software Engineer, you will be a key technical leader and role model within the organization. We are looking for a technical lead who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes trade offs to help achieve the goals of individual teams as well as LinkedIn's broader goals. You will foster LinkedIn's culture and values around transformation, collaboration and results. You will work closely with technical leadership and management within and outside our organization to contribute to building best-in-class core systems infrastructure for LinkedIn. Responsibilities: -Deliver impact by driving innovation while building and shipping software at scale -Provide architectural guidance and mentorship to up-level the engineering organization -Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies -Design products/services/tools and code that can be used by others while upholding operational impact of all decisions -Functioning as the tech-lead for multiple key initiatives, identify problems and opportunities and lead teams to architect, design, implement and operationalize systems -Partner closely with teams within the org and customers to execute on the vision for long-term success of our core infrastructure teams -Working closely with the open-source community to participate and influence cutting edge open-source projects. -Keep a platform first approach while designing products/service Basic Qualifications: -BS/BA in Computer Science or related technical field or equivalent technical experience -5+ years of industry experience in software design, development, and algorithm related solutions -5+ years of experience programming in object-oriented languages such as Rust or C++ -2+ years of experience as an architect, or technical leadership position -Hands-on experience developing large-scale, distributed systems, and databases Preferred Qualifications: -MS or PhD degree in Computer Science or related technical discipline -10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position -10+ years of experience in an object-oriented programming language such as Rust or C++ -5+ years of experience with large-scale distributed systems and client-server architectures -Experience with industry, opensource, and/or academic research in technologies such as GraphQL, gRPC, Envoy Proxy, Kubernetes -Experience with interoperability with C++ and/or Rust, including Foreign Function Interface (FFI). -Hands-on experience with SideCar architecture -Experience with open-source project management and governance -Experience in building a language platform -Experience in improving the developer experience and enabling innovation. Suggested Skills: -Distributed Systems -Technical Leadership -Infrastructure -Rust / C++ You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Join us to push the boundaries of scaling large models together. The team is responsible for scaling LinkedIn's AI model training, feature engineering and serving with hundreds of billions of parameters models and large scale feature engineering infra for all AI use cases from recommendation models, large language models, to computer vision models. We optimize performance across algorithms, AI frameworks, data infra, compute software, and hardware to harness the power of our GPU fleet with thousands of latest GPU cards. The team also works closely with the open source community and has many open source committers (TensorFlow, Horovod, Ray, vLLM, Hugginface, DeepSpeed etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning and Serving performance optimizations across billions of user queries. Model Training Infrastructure: As an engineer on the AI Training Infra team, you will play a crucial role in building the next-gen training infrastructure to power AI use cases. You will design and implement high performance data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, enable distributed training over 100s of billions of parameter models, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, tensor parallelism, Zero++ etc. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention. PyTorch Lightning and more and more. Model Serving Infrastructure: this team builds low latency high performance applications serving very large & complex models across LLM and Personalization models. As an engineer, you will build compute efficient infra on top of native cloud, enable GPU based inference for a large variety of use cases, cuda level optimizations for high performance, enable on-device and online training. Challenges include scale (10s of thousands of QPS, multiple terabytes of data, billions of model parameters), agility (experiment with hundreds of new ML models per quarter using thousands of features), and enabling GPU inference at scale. As a Sr. Staff Software Engineer, you will have first-hand opportunities to advance one of the most scalable AI platforms in the world. At the same time, you will work together with our talented teams of researchers and engineers to build your career and your personal brand in the AI industry. Responsibilities -Owning the technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. -Designing, implementing, and optimizing the performance of large-scale distributed serving or training for personalized recommendation as well as large language models. -Improving the observability and understandability of various systems with a focus on improving developer productivity and system sustenance. -Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team. -Working closely with the open-source community to participate and influence cutting edge open-source projects (e.g., vLLMs, PyTorch, GNNs, DeepSpeed, Huggingface, etc.). -Functioning as the tech-lead for several concurrent key initiatives AI Infrastructure and defining the future of AI Platforms. Basic Qualifications: - BS/BA in Computer Science or related technical field or equivalent technical experience - 5+ years of industry experience in software design, development, and algorithm related solutions - 5+ years of experience programming in object-oriented languages such as Python, C++, Java, Go, Rust, Scala - 2+ years of experience as an architect, or technical leadership position - 5+ years of experience in the industry with leading / building deep learning systems - Hands-on experience developing distributed systems or other large-scale systems Preferred Qualifications: - MS or PhD in Computer Science or related technical discipline. - 10+ years of experience in software design, development, and algorithm related solutions with at least 5 years of experience in a technical leadership position - 10+ years of experience in an object-oriented programming language such as Python, C++, Java, Go, Rust, Scala - 5+ years of experience with large-scale distributed systems and client-server architectures -Experience building ML applications, LLM serving, GPU serving. - Co-author or maintainer of any open-source projects - Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems - Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Suggested Skills: -ML Algorithm Development -Machine Learning and Deep Learning -Information retrieval / recommendation systems -Technical leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $180,000 to $300,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

How to Apply (PLEASE READ CAREFULLY): In addition to applying here, please additionally do the following to be considered: Perform our coding challenge here (please copy and paste the link into your browser): ********************************************************************** Please provide your resume and the specific position (Embedded Software Engineer) you are applying to in your submission email. The Company: Electric Era is designing, building, and testing Nexus, a high power, intelligent, and autonomous battery-enabled charging station to provide the necessary infrastructure needed for the affordable and timely electrification of transportation. Our high power charging stations and the software platform we build around them will be a critical infrastructure piece of the electrical grid and will complement the deployment of high-performance, low-cost, fast-charging infrastructure around America. The Role: Electric Era's software team redefines “full-stack” - we write everything from low-level firmware to cloud-hosted backend software to factory test infrastructure to artificial intelligence and simulation tooling. We believe in first-principles engineering with rapid iteration towards success. You will have the opportunity to join us in this mission, take ownership in part of the open-ended problem of EV charging infrastructure, and execute the creation of end-to-end software that will level up the industry's understanding of the charging experience. Your contributions will be critical to the long-term success of the company in making EV fast charging ubiquitous and affordable. Responsibilities: You will develop and own major parts of the Electric Era on-device software stack You will source requirements cross-functionally to produce optimal first principles software designs and will present and defend those design decisions You will collaborate with our hardware partners and customers to ensure optimal system-level design for our product line You will be responsible for continued success of your software in harsh real world environments by championing appropriate software and hardware reliability practices as necessary You will learn from and educate other engineers to continuously elevate the Electric Era engineering team's technical acumen Qualifications & Preferred Skills: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field Experience building and delivering software products running on baremetal or Linux-based embedded microprocessors/microcontrollers Experience with real-time and safety-critical systems Experience in competitive engineering programs (e.g. FSAE) or applied research programs Development experience in C, C++, Python, Golang, and/or TypeScript Capability to support operations on-call rotations as needed Strong verbal and written communication skills Note on Total Compensation: In addition to salary, all employees at Electric Era receive stock options. This will allow you to directly reap the financial benefit of your technical contributions - at a company like Electric Era, your impact will have a major, direct, and outsized effect on your total compensation. Stock options will scale based on your level.

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 will be based in Sunnyvale, CA or San Francisco, CA. Key Responsibilities Serve as a senior technical leader driving the long-term reliability and observability strategy across LinkedIn's infrastructure Re-architect LinkedIn's backend systems to enable granular failure domains and reduce the blast radius of incidents Design and implement next-generation failure mitigation strategies that avoid full-region or full-datacenter failovers Partner closely with across many different types of engineers to raise the bar for operational excellence and incident response Define and build frameworks to improve monitoring, alerting, and observability across hundreds of services and systems Define and own the roadmap of bringing observability to critical user journeys for LinkedIn's products to help capture and improve the experience of LinkedIn's members/customers Spearhead a multi-year initiative to transition LinkedIn's infrastructure to a regionalized model with localized failover, enhancing both scalability and availability Lead technical discussions on the future of Engineering at LinkedIn, what the function should evolve into over the next 3-5 years Deliver key insights, executive level reporting across the cross-functional engineering teams to enable the right business decisions around improving quality and reliability of our services and products Act as a force multiplier by mentoring engineers, influencing technical direction across orgs, and contributing deeply to culture, hiring, and technical excellence Lead incident response and post-incident reviews to identify root causes and implement preventive measures. Develop and maintain incident management processes and procedures to ensure timely resolution of issues and minimize impact on customers Basic Qualifications 15+ years of software engineering experience 8+ years focused on infrastructure, reliability focused engineering, or distributed systems Preferred Qualifications Hands-on experience with large-scale incident response, root cause analysis, and resiliency engineering Strong communication and cross-functional collaboration skills, with experience influencing across multiple orgs and leadership levels Proven success designing and leading architectural transformations at internet-scale companies Deep knowledge of systems reliability, observability frameworks, and fault-tolerant architecture design Experience with multi-region architecture, capacity planning, and failover strategies in large-scale cloud or hybrid environments Background in CI/CD, platform reliability, and automation of ops-heavy systems. Familiarity with modern observability stacks (e.g., OpenTelemetry, Prometheus, Grafana) and service mesh architecture Track record of setting long-term technical strategy and driving systemic improvements in availability and performance Previous experience in a Distinguished Engineer or equivalent role at a high-growth or web-scale technology company Suggested Skills: -Site Reliability Engineering (SRE) -Leadership -Large scale infrastructure LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $238,000 to $390,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include 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. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

About the Role: We are seeking a mid-level software engineer with strong expertise in Java development to join our growing engineering team. You will be responsible for designing, developing, and maintaining scalable software solutions. This role involves hands-on coding, collaboration with cross-functional teams, and delivering high-quality applications. Key Responsibilities: Design, develop, test, and deploy backend applications using Java Collaborate with product managers, designers, and fellow engineers Write clean and maintainable code following industry best practices Participate in code reviews and offer constructive feedback Troubleshoot and resolve issues across the application stack Improve system performance and scalability Stay informed on new technologies and trends Required Qualifications: Bachelor's degree in Computer Science, Engineering, or related field 3-5 years of hands-on Java development experience Proficiency in Java 8 or higher and frameworks such as Spring or Spring Boot Experience with REST APIs, microservices, and relational databases Familiarity with version control (Git) and CI/CD pipelines Strong understanding of object-oriented programming and design patterns Excellent problem-solving and debugging skills Preferred Qualifications: Experience with cloud platforms such as AWS, Azure, or GCP Exposure to Docker or Kubernetes Knowledge of agile methodologies Familiarity with frontend technologies like React or Angular is a plus What We Offer: Competitive salary and benefits Flexible working arrangements Career development opportunities Supportive and inclusive team culture

Senior Software Engineer - Autonomous Systems Who We Are: We are defining and pushing the boundaries of autonomous vehicle technology in real-world environments for exploration, navigation and monitoring of the problems of today. The Role: We are seeking a Sr. Software Engineer to develop mission-critical systems for autonomous surface vehicles. You'll contribute to defining sensor integration, communications, real-time control, and multi-vehicle cooperation in dynamic marine conditions. Key Responsibilities: Develop C/C++ software for vehicle control, navigation, and communications. Integrate software with hardware and embedded systems. Advance multi-vehicle cooperation and coordination algorithms. Develop simulations for ocean environment modeling. Process data from cameras, LiDAR, radar, sonar, Starlink, and cellular networks. Enhance autonomy features, including obstacle detection and avoidance. Debug real-world software issues and maintain system documentation. Required Qualifications: B.S/M.S in Computer Science, Engineering, or related field. Green Card Holder or US citizen. 3-5+ years in embedded systems, preferably within autonomous technology. Proficient in C/C++ with real-time OS and POSIX/UNIX experience. Strong networking knowledge (Serial, UDP/IP, RF, LTE, WiFi, satellite). Experience in computer vision, machine learning, or SLAM. Familiarity with SFML and microcontrollers.

Senior Software Engineer - Autonomous Systems Who We Are: We are defining and pushing the boundaries of autonomous vehicle technology in real-world environments for exploration, navigation and monitoring of the problems of today. The Role: We are seeking a Sr. Software Engineer to develop mission-critical systems for autonomous surface vehicles. You'll contribute to defining sensor integration, communications, real-time control, and multi-vehicle cooperation in dynamic marine conditions. Key Responsibilities: Develop C/C++ software for vehicle control, navigation, and communications. Integrate software with hardware and embedded systems. Advance multi-vehicle cooperation and coordination algorithms. Develop simulations for ocean environment modeling. Process data from cameras, LiDAR, radar, sonar, Starlink, and cellular networks. Enhance autonomy features, including obstacle detection and avoidance. Debug real-world software issues and maintain system documentation. Required Qualifications: B.S/M.S in Computer Science, Engineering, or related field. Green Card Holder or US citizen. 3-5+ years in embedded systems, preferably within autonomous technology. Proficient in C/C++ with real-time OS and POSIX/UNIX experience. Strong networking knowledge (Serial, UDP/IP, RF, LTE, WiFi, satellite). Experience in computer vision, machine learning, or SLAM. Familiarity with SFML and microcontrollers.

Senior Software Engineer - Autonomous Systems Who We Are: We are defining and pushing the boundaries of autonomous vehicle technology in real-world environments for exploration, navigation and monitoring of the problems of today. The Role: We are seeking a Sr. Software Engineer to develop mission-critical systems for autonomous surface vehicles. You'll contribute to defining sensor integration, communications, real-time control, and multi-vehicle cooperation in dynamic marine conditions. Key Responsibilities: Develop C/C++ software for vehicle control, navigation, and communications. Integrate software with hardware and embedded systems. Advance multi-vehicle cooperation and coordination algorithms. Develop simulations for ocean environment modeling. Process data from cameras, LiDAR, radar, sonar, Starlink, and cellular networks. Enhance autonomy features, including obstacle detection and avoidance. Debug real-world software issues and maintain system documentation. Required Qualifications: B.S/M.S in Computer Science, Engineering, or related field. Green Card Holder or US citizen. 3-5+ years in embedded systems, preferably within autonomous technology. Proficient in C/C++ with real-time OS and POSIX/UNIX experience. Strong networking knowledge (Serial, UDP/IP, RF, LTE, WiFi, satellite). Experience in computer vision, machine learning, or SLAM. Familiarity with SFML and microcontrollers.

Senior Software Engineer - Autonomous Systems Who We Are: We are defining and pushing the boundaries of autonomous vehicle technology in real-world environments for exploration, navigation and monitoring of the problems of today. The Role: We are seeking a Sr. Software Engineer to develop mission-critical systems for autonomous surface vehicles. You'll contribute to defining sensor integration, communications, real-time control, and multi-vehicle cooperation in dynamic marine conditions. Key Responsibilities: Develop C/C++ software for vehicle control, navigation, and communications. Integrate software with hardware and embedded systems. Advance multi-vehicle cooperation and coordination algorithms. Develop simulations for ocean environment modeling. Process data from cameras, LiDAR, radar, sonar, Starlink, and cellular networks. Enhance autonomy features, including obstacle detection and avoidance. Debug real-world software issues and maintain system documentation. Required Qualifications: B.S/M.S in Computer Science, Engineering, or related field. Green Card Holder or US citizen. 3-5+ years in embedded systems, preferably within autonomous technology. Proficient in C/C++ with real-time OS and POSIX/UNIX experience. Strong networking knowledge (Serial, UDP/IP, RF, LTE, WiFi, satellite). Experience in computer vision, machine learning, or SLAM. Familiarity with SFML and microcontrollers.

Misapplied Sciences is a VC-backed startup bringing an unprecedented innovation to the world. Parallel Reality™ displays are a new technology where many people, standing shoulder-to-shoulder looking at the same display at the same time, can each see something different . The technology can work for crowds of up to thousands of people, and no glasses are required. With Parallel Reality™ technology, public venues such as airports, stadiums, shopping malls, and resorts can be personalized for every individual simultaneously. We're seeking a Software Engineer to drive the development of the high-performance software and graphics platform that empowers creatives and engineers to tap the capabilities of a powerful new technology. As part of our team, you'll join us on the world stage. Your contributions will be experienced by millions at popular venues and events hosted by internationally renowned companies. Your colleagues will include former Disney Imagineers, Microsoft Researchers, and Stanford and Caltech alums. You'll help shape our products and experiences, with the opportunity to collaborate on highly unique software, hardware, and creative challenges. Our lab is in Old Town Pasadena - Southern California's famous historic, cultural, and dining destination. This role will benefit from experience/interest in one or more of the following: Architecting high-performance, multi-threaded software platforms Interfacing with state-of-the-art sensing technology and custom hardware Optimizing across boundaries of a multi-disciplinary opto-electrical-mechanical system Inventing novel rendering, mathematical, and computer vision algorithms Establishing secure software engineering discipline, principles, and foundations C++, Python, OpenCV, Qt, Boost, OpenGL/Direct3D, Socket Programming Please visit us at ********************************** for more information.