Full-Stack Software Engineer, Compute Foundations

Responsibilities

• 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 large-scale scheduling, resource allocation, and cluster behavior easier to inspect and reason about.
• Develop scalable backend services that process high-volume cluster and workload data with low latency and high reliability.
• Build intuitive frontend workflows that connect users to the underlying scheduling, storage, and compute systems.
• Raise the bar for reliability, performance, and security in the systems used to operate OpenAI’s frontier compute.

Requirements

• Significant experience in full-stack development, with expertise in modern frontend frameworks such as React, Vue, or Angular, and backend technologies such as Python, Go, or Node.js.
• Experience building scalable, high-performance web applications for complex distributed systems.
• Understanding of APIs, distributed data systems, and cloud infrastructure.
• Execution-focused with a strong eye for usability, performance, and scalability.
• Comfortable working in fast-paced, highly collaborative environments with tight timelines and evolving priorities.

Nice-to-Haves

• Experience working with Kubernetes, Docker, and cloud-native application deployment.
• Understanding of AI/ML workload scheduling and orchestration challenges.
• Experience with real-time data processing, visualization libraries, and observability tooling.