Software Engineer, Compute Foundations

About this role

Software Engineer, Compute Foundations

San Francisco, California, United States·Posted Today

full-time

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The Role

OpenAI's Compute Foundations team builds software that manages GPU compute infrastructure across data centers and sites, supporting model training and inference. In this role, you will design and operate Kubernetes-based distributed systems that provision, configure, and manage compute resources throughout their lifecycle, connecting global services with bare-metal systems management.

What You'll Do

• Design, build, and operate Kubernetes-based controllers and distributed services that coordinate infrastructure across sites and scale as GPU capacity grows
• Define APIs and resource models that enable clients to request and track lifecycle operations across diverse hardware platforms and providers
• Build provisioning and configuration services that coordinate network boot, hardware management interfaces, firmware deployment, operating-system images, drivers, and host configuration
• Develop lifecycle management systems for discovery, allocation, provisioning, upgrades, maintenance, recovery, and decommissioning, integrated with health and validation systems
• Design reliable reconciliation and recovery mechanisms for concurrent changes, interrupted operations, and partial failures with staged rollouts across nodes, racks, and clusters

What You Need

• Strong software engineering fundamentals with experience designing, implementing, and owning production distributed systems or infrastructure services
• Experience developing infrastructure systems that use Kubernetes APIs and reconciliation to manage resources
• Understanding of bare-metal node provisioning from power-on to configured workload-ready state, with depth in areas such as PXE, DHCP/DNS, baseboard management controllers (BMCs), firmware, Linux, drivers, images, or configuration management
• Ability to design reliable APIs and asynchronous workflows, reasoning about concurrency, consistency, idempotency, and failures across service and provider boundaries
• Capability to diagnose reliability and performance problems across service, operating-system, and machine boundaries

Nice to Have

• Experience building infrastructure control planes that coordinate operations across multiple sites or regions
• Prior work with GPU or HPC infrastructure, including topology and shared dependencies across machines, racks, or clusters
• Integration experience with multiple hardware platforms or infrastructure providers into a common service or resource model