Full-StackSoftwareEngineer,ComputeFoundations

About the Team The Frontier Clusters team at OpenAI builds, launches, and supports the largest supercomputers in the world! Our mission is to make them work for frontier model training. We bring new clusters online, scale them to larger and larger training runs, improve cluster availability, and work with researchers to understand and fix the issues that keep jobs from running reliably. That means debugging issues across hardware and software, building the tools needed to operate these systems, and working closely with researchers to make frontier training reliable. About the Role You will build web-based tools that help answer critical questions about our supercomputing clusters: Why is this training job down? What is preventing these nodes from being ready? Where are we losing usable capacity, and what should we fix first? How can agents help us solve this problem? You will work closely with researchers and infrastructure teams to identify the highest-leverage problems in cluster operations, then design and build solutions. That could mean improving cluster availability, giving users and operators better insight into job failures and performance, or building workflows that make scheduling, debugging, and resource management more effective at massive scale. This is an opportunity to work at the cutting edge of AI infrastructure, turning complex operational problems across some of the world’s largest supercomputers into clear, reliable, and scalable systems. In this role, you will: - Build full-stack web applications that help researchers and operators understand cluster health, job failures, and usable capacity in real time. - Turn questions like “why is this job down?” and “what is preventing these nodes from being ready?” into clear, actionable product experiences. - Collaborate closely with researchers and infrastructure teams to identify high-leverage operational problems and build tools that solve them. - Design data models, APIs, and visualizations that make