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Jobs/San Francisco/Software Engineer, Fleet Management
San Francisco, CA

Software Engineer, Fleet Management

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency.

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

What this role actually needs.

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Responsibilities: - Design and build systems to manage both cloud and bare-metal fleets at scale. - Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms. - Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows. - Automate infrastructure processes, reducing repetitive toil and improving system reliability. - Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack. - Continuously improve tools, automation, processes, and documentation to enhance operational efficiency. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.

Responsibilities

Day-to-day expectations

OpenAI lists these responsibilities for the Software Engineer, Fleet Management role.

  • Design and build systems to manage both cloud and bare-metal fleets at scale.
  • Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms.
  • Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows.
  • Automate infrastructure processes, reducing repetitive toil and improving system reliability.
  • Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack.
  • Continuously improve tools, automation, processes, and documentation to enhance operational efficiency.
UpJobz market context

Why this listing is more than a copied job post.

Software Engineer, Fleet Management is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

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Compensation read

$230K - $490K is visible before the click, so candidates can compare the role against local market expectations before applying.

Work authorization read

Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.

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Subscriber playbook

Turn this listing into an application plan.

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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 management 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

Artificial IntelligenceOn-siteaillmresearchnode

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.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

aillmresearchnodekubernetesterraformawssecurityuxapipythoninfrastructure
Next step

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Source: jobs.ashbyhq.com Β· Source ID: 7809102e-e82a-4678-bf7c-221de8acc0d6 Β· Confidence: 97/100 Β· Last checked: May 7, 2026

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