LinkedIn

LinkedIn

Sr. Software Engineer, AI Infrastructure

Sunnyvale, CA, United States · Senior · Contract

Sponsorship not specified$139k-$229kDetected 1 day ago
PythonJavaGoRustC++C#ScalaDistributed SystemsAlgorithmsSite Reliability EngineeringMachine LearningDeep LearningTensorFlowPyTorchSparkComputer VisionLLMsCommunicationMentoring

About the role

  • Join us to transform the way the world works.
  • At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business.
  • The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Responsibilities

  • Functioning as the tech-lead for several concurrent key initiatives AI Infrastructure and defining the future of AI Platforms.
  • Hands-on experience developing distributed systems or other large-scale systems.
  • Experience building ML applications, LLM serving, GPU serving.
  • Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
  • 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.
  • 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.

Requirements

  • Bachelor's Degree in Computer Science or related technical discipline, or equivalent practical experience
  • 2+ years of experience with Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages

Nice to have

  • 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
  • Previous experience working with geographically distributed co-workers.
  • 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.
  • Experience with distributed data processing engines like Flink, Beam, Spark etc., feature engineering,
  • Experience with search systems or similar large-scale distributed systems
  • Co-author or maintainer of any open-source projects
  • Familiarity with containers and container orchestration systems
  • Suggested Skills

Skills

  • PyTorch Lightning and more and more.

Compensation

  • As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
  • The range of expected compensation for this position is $139,000 to $229,000, which includes potential compensation under non-discretionary annual performance bonus and/or other applicable incentive compensation plans.

Benefits

  • Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning and Serving performance optimizations across billions of user queries.
  • Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team.
  • 2+ years of experience in the industry with leading/ building deep learning systems.
  • 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
  • Experience in Machine Learning and Deep Learning

Equal opportunity

  • 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.

Visa & Work Authorization

  • in, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class
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This listing is sourced directly from LinkedIn's careers page and normalized into a canonical job model.