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engineering

Posted Nov 19, 2025

Software Engineer, Fleet Management

at openai

San Francisco, United StatesHybrid

Responsibilities

  • - Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms.
  • - Automate infrastructure processes, reducing repetitive toil and improving system reliability.
  • - Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack.

Requirements

  • We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency.
  • Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT.
  • We prioritize safety, reliability, and responsible AI deployment over unchecked growth.
  • You will design and develop solutions that integrate individual nodes and servers into unified clusters, directly contributing to advancing AI research by streamlining the overall research user experience.
  • experience in large-scale infrastructure environments.
  • - Possess broad knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud providers).
  • - Have deep expertise in server-level systems (e.g., systems, containerization, Chef, Linux kernels, firmware management, host routing).
  • About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence

Additional details

  • The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development.
  • About the Role The Software Engineer, Operating Systems & Orchestration will focus on building systems to manage hardware, configurations, vendors, and the people interacting with our infrastructure.
  • We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role,
  • you will: - Design and build systems to manage both cloud and bare-metal fleets at scale.
  • - Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows.
  • - Continuously improve tools, automation, processes, and documentation to enhance operational efficiency.
  • You might thrive in this role if you: - Have strong software engineering skills with
  • - Are passionate about optimizing the performance and reliability of large compute fleets.
  • - Thrive in dynamic environments and are eager to solve complex infrastructure challenges.
  • - Value automation, efficiency, and continuous improvement in everything you build.

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