Jobs/San Francisco/Software Engineer, Fleet Infrastructure
San Francisco, California, United States

Software Engineer, Fleet Infrastructure

This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment.

Company
OpenAI
Compensation
$230K - $490K
Schedule
Full-Time
Role overview

What this role actually needs.

Software Engineer, Fleet Infrastructure at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment.

Responsibilities

Day-to-day expectations

A clear list of the work this role is designed to cover.

  • Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems.
  • Interface with researchers and product teams to understand workload requirements
  • Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service
  • Have experience with hyperscale compute systems
  • Possess strong programming skills
  • Have experience working in public clouds (especially Azure)
Requirements

What a strong candidate brings

This keeps the job page specific, readable, and easier to match.

  • Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service
  • Have experience with hyperscale compute systems
  • Possess strong programming skills
  • Have experience working in public clouds (especially Azure)
  • Have experience working in Kubernetes
  • Execution focused mentality paired with a rigorous focus on user requirements
Benefits

Why people would want this job

Benefits help searchers understand whether the role is a real fit before they apply.

    Subscriber playbook

    Turn this listing into an application plan.

    This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.

    Next moves

    • Tailor your resume around ai and llm instead of sending a generic application.
    • Use the first two bullets of your application to connect your background directly to software engineer, fleet infrastructure is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
    • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

    Interview themes

    Cloud & DevOpsOn-siteaillmmachine-learningresearch

    Watchouts

    • $230K - $490K is visible, so calibrate your application around the posted range.
    • Use united states residents as part of your positioning so the recruiter does not have to infer it.
    • Show concrete examples of succeeding in on-site environments.
    SEO context

    Search intent signals for this listing

    Helpful keyword hooks for serious tech searchers and future programmatic job pages.

    Software Engineer, Fleet InfrastructureOpenAISan FranciscoUSCloud & DevOpsaillmmachine-learningresearchkubernetesawsazuresecurityplatformapipythoninfrastructure
    Next step

    Ready to move on this role?

    This page keeps the application flow simple while giving you enough context to decide quickly and move.