Distinguished Software Engineer, Systems Infrastructure (Mountain View)

Company DescriptionLinkedIn 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 DescriptionAt LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.The Systems and Infrastructure Team is building a next-generation engineering system and infrastructure platform designed to improve engineering leverage across the company and deliver accelerated value to the AI stack. The mission is to re-platform the largest GPU-scale inference and training infrastructure serving hundreds of thousands of GPUs onto a modern, high-velocity engineering foundation.As a Distinguished Engineer, you will help architect and deliver core distributed systems primitives including scalable Kubernetes scheduling, metadata storage, model serving control planes, observability, and global routing — all built to run at massive scale on cloud infrastructure. This role sits at the intersection of infrastructure, distributed systems, and AI platforms, an opportunity to shape one of the most leveraged software problems at the company and build systems that will eventually onboard teams across the organization.Responsibilities:You will drive the engineering systems vision spanning hermetic builds (Bazel), continuous deployment, cryptographic supply chain integrity, infrastructure-as-code, and identity/security, with a goal of enabling AI-native developer productivity.You will partner directly with senior engineering leaders across LinkedIn to define technical strategy, set the quality bar, and drive execution from early prototyping through full production migration of mission-critical AI workloadsYou will help define business strategy and technical strategy and drive alignment cross functionally.You will head cross team/cross functional discussions and drive alignment on technology strategy.You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.You will establish a culture that values diverse viewpoints while navigating complex decisions.QualificationsBasic Qualifications:Bachelor's degree in Computer Science or a related field, or equivalent experience10+ years of relevant work experience Experience leading technical projects with multiple stakeholdersPreferred Qualifications:Masters in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience15+ years experience in building infrastructure at scale, with at least 5 of those years in a technical  leadership positionExperience building large scale infrastructure, distributed systems, and AI PlatformsExperience in leading large scale development projects from concept to multiple releases in productionExperience of technical leadership guiding and mentoring engineering and operations talentExperience leading high-impact, cross-company initiativesSuggested Skills:InfrastructureDistributed systemsAI PlatformYou 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 $248,000 to $406,000. 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 InformationEqual 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 View email address on apply.placed-app.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 youHaving interviews in an accessible locationBeing accompanied by a service dogHaving a sign language interpreter present for the interviewA request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.San Francisco Fair Chance Ordinance ​Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.Pay Transparency Policy Statement ​As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates ​Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Full-timeFunction: EngineeringExperience level: DirectorIndustry: Internet