Software Engineer, Fleet Management

OpenAI • San Francisco, CA

2d • Hybrid

About The Position

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. 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. 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. 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. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

Requirements

• Have strong software engineering skills with 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., systemd, containerization, Chef, Linux kernels, firmware management, host routing).
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees