Software Engineer, Compute Foundations

Highlights

• Turn large heterogeneous GPU fleets into dependable compute for research.
• Own machine lifecycle from provisioning through recovery and decommissioning.
• Expand platform across new sites and generations of GPU hardware.

What they offer

• Equity

Ideal candidate

Distributed systems engineer who loves connecting software with bare-metal reality. You care about reliability at scale and collaborate across hardware and software teams to make fleets dependable.

Requirements

• Strong software engineering fundamentals with experience owning production distributed systems or infrastructure services
• Experience building infrastructure systems using Kubernetes APIs and reconciliation to manage resources
• Understanding of bare-metal lifecycle from power-on to workload-ready, including PXE, DHCP/DNS, BMCs, firmware, Linux, drivers, images or configuration management
• Ability to design reliable APIs and asynchronous workflows with attention to concurrency, consistency, idempotency and failures
• Ability to diagnose reliability and performance issues across service, OS and machine boundaries
• Effective collaboration across engineering specialties with clear communication of tradeoffs
• Experience building multi-site or multi-region infrastructure control planes
• Experience with GPU or HPC infrastructure, including topology and shared dependencies