Software Engineer, Compute Infrastructure

Job summary

Responsibilities

We are looking for engineers who want to build the compute platform behind OpenAI's research and products. You may not be the strongest in low-level systems, high-performance computing, distributed infrastructure, reliability, CaaS, agent infrastructure, developer platforms, tooling, or the user…

• Build and deeply optimize reliable system software for large-scale compute systems that run some of the world's most demanding AI workloads
• Design and operate infrastructure across accelerators, CPUs, NICs, switches, networking protocols, storage, data centers, cluster orchestration, scheduling, and fleet health
• Profile, benchmark, and optimize training workloads across compute, memory, storage, networking, NCCL and collective communication, and cluster scheduling bottlenecks
• Create hardware-aware automation that makes provisioning, firmware and driver upgrades, incident response, and day-to-day operations faster and less error-prone
• Build CaaS, agent infrastructure, profiling, observability, benchmarking, and platform tools that help researchers, product engineers, and operators launch, debug, and optimize…

What they're looking for

• Strong software engineering skills and experience building, operating, or improving production infrastructure systems
• Experience in one or more relevant areas such as distributed systems, operating systems, networking protocols, RDMA, NCCL or collective communication, storage, Kubernetes…
• Ability to debug complex system behavior across software, hardware, networking, and workload layers, then turn findings into robust improvements
• Comfort with ambiguity, strong ownership, and a bias toward practical, durable solutions
• Interest in working on infrastructure that directly enables frontier AI research and product impact

Tech stack

• Kubernetes