Senior HPC & GPU Cluster Architect — Scale & Automate

San Francisco Compute Company; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Generous equity grant

Competitive salary

Visa sponsorship

Retirement matching up to 4%

100% medical, dental, and vision insurance

Unlimited paid time off

Paid parental leave

Daily lunch coverage

Unlimited office book budget

Job summary

San Francisco Compute Company is seeking an experienced professional to manage and deploy GPU clusters. You'll work to ensure optimal performance, participate in on-call rotations, and help mentor junior engineers within our team.

This role requires a deep understanding of HPC and GPU systems, coupled with a passion for automation and infrastructure as code. Additional perks include competitive salary and generous equity options.

Qualifications

• 5+ years experience with designing and scaling HPC or GPU compute clusters.
• Deep understanding of server hardware fundamentals.
• Comfortable debugging across hardware and software layers.
• Excited about automating fleet operations.
• Ability to mentor junior engineers.

Responsibilities

• Architect and deploy new GPU clusters globally.
• Participate in on-call rotation and fix issues as they arise.
• Lean into automation for large-scale deployments.
• Shape company culture and mentor junior engineers.

Skills

HPC or GPU compute cluster experience

Server hardware fundamentals

Performance debugging

Infrastructure as code

Strong operational documentation

Mentoring junior engineers

Tools

Linux systems administration

Schedulers and orchestration systems (Slurm, Kubernetes)

Virtualization technologies (KVM, QEMU)

Telemetry pipelines

InfiniBand and RoCEv2 Ethernet troubleshooting

Job description

San Francisco Compute Company is seeking an experienced professional to manage and deploy GPU clusters. You'll work to ensure optimal performance, participate in on-call rotations, and help mentor junior engineers within our team.

This role requires a deep understanding of HPC and GPU systems, coupled with a passion for automation and infrastructure as code. Additional perks include competitive salary and generous equity options.