openai · San Francisco
Skills: AWS, Docker
ABOUT THE TEAM The Compute Infrastructure team runs the GPU fleet and large-scale compute clusters that serve the models backing ChatGPT and the API, while also supporting training workloads for our next generation of models. We provide a unified platform for OpenAI teams to run production Applied AI and Research training workloads. Our work spans cloud providers, bare metal infrastructure, data centers, and the foundational services that make compute usable. We partner across Engineering, Research, Product, Capacity Planning, Finance, and Data Center Infrastructure to bring new capacity online and support OpenAI’s growing compute needs. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. ABOUT THE ROLE As a Technical Program Manager for Compute Infrastructure, you will own the supply signal for all GPUs entering our fleet: a reliable view of what capacity is arriving, where and when it will arrive, and when it is expected to become usable. You will own the roadmap, requirements, delivery, and adoption of the tools, data, and platform behind that signal, partnering with Engineering to build systems that support planning and execution across OpenAI. You will also lead programs that turn incoming supply into usable compute. Working across cloud providers, Data Center Infrastructure, and compute engineering teams, you will connect physical site readiness with the CPU, storage, network, GPU, and foundational services required to bring new sites and clusters online. You will be part of an engineer-first TPM team, managing a broad portfolio of infrastructure programs and making dependencies, risks, and decisions clear from working teams through leadership. Your work will help teams plan with confidence, respond to supply changes, and deliver capacity on time. IN THIS ROLE, YOU WILL: - Own the GPU supply signal across the fleet. Main…
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