HPC/ GPU Cluster Architect

About the role

GPU clusters are some of the most performant computers on the planet. Even smaller clusters by today's standards would have ranked in the TOP500 five years ago. Our infrastructure team is responsible for architecting and deploying new clusters around the world and keeping them running smoothly. You'll participate in on-call rotation, deploy new environments, fix issues when they arise, and lean into automation to enable deployments at scale. We're a small but ambitious team so you'll be an early contributor helping to shape culture, mentor junior engineers, and learn from our customers. About You You will have 5+ years of experience with hands-on designing, architecting and scaling at least one HPC or GPU compute cluster in production (ideally >1,000 GPUs, but not required) You deeply understand server hardware fundamentals, including GPUs, NICs, PCIe, memory, thermals, and power You're comfortable debugging performance and reliability issues across hardware, OS, drivers, and networking layers; full-stack. The idea of automating fleet operations (provisioning, monitoring, remediation) excites you - you embrace infrastructure-as-code You appreciate, value, and generate strong operational documentation and runbooks You have the ability and willingness to mentor junior engineers and contribute to team culture You're open to coming in to our San Francisco office 3-4 days per week You're open to domestic travel when required Some Nice to Haves Familiarity with data center operations including power, cooling, and colo/vendor engagements Strong Linux systems administration experience, including kernel drivers, RDMA stack tuning, and performance analysis Experience with schedulers and orchestration systems such as Slurm and Kubernetes Exposure to virtualization technologies (KVM, QEMU, libvirt) Experience utilizing telemetry pipelines for predictive hardware failure detection Experience troubleshooting high-speed fabrics such as InfiniBand and/or RoCEv2 Ethernet