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 span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency.
What this role actually needs.
Software Engineer, Fleet Management 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. The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency.
Day-to-day expectations
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- 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.
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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.
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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.
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