HPC/ GPU Cluster Architect

The role

You will architect and deploy new GPU clusters around the world. You will participate in on-call rotation, deploy new environments, fix issues, and use automation for scale.

What you will do

• Architect and deploy new clusters around the world
• Keep clusters running smoothly
• Participate in on-call rotation
• Deploy new environments
• Fix issues when they arise
• Use automation to enable deployments at scale
• Shape culture
• Mentor junior engineers
• Learn from customers

Required qualifications

• 5+ years of experience with hands-on designing, architecting and scaling at least one HPC or GPU compute cluster in production
• Deep understanding of server hardware fundamentals, including GPUs, NICs, PCIe, memory, thermals, and power
• Comfortable debugging performance and reliability issues across hardware, OS, drivers, and networking layers
• Embrace infrastructure-as-code
• Generate strong operational documentation and runbooks
• Ability and willingness to mentor junior engineers
• Open to domestic travel when required

Nice to have

• 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

Benefits

• Generous equity grant
• Visa sponsorships
• 401(k) matching up to 4%
• Medical, dental, and vision insurance for employees and dependents
• Unlimited paid time off
• 10+ observed holidays
• Paid parental leave for biological, adoptive, and foster parents
• Daily lunch
• Unlimited office book budget

Before you apply

• We sponsor visas and work permits

About the company

San Francisco Compute builds data centers and supercomputers, then leases those machines on contracts that let customers sublease. They serve as a technical partner to build, operate, and lease supercomputers for financially motivated parties.