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HPC Hardware Engineer

San Francisco Compute Company
San Francisco, USA
Full-time
Mid · 5+ years experience
Hybrid
USD 220000-300000 yearly / year
Discovered 1 months ago
InfiniBandRoCEv2PCIeSlurmKubernetesLinux

Full Job Posting

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 operating, supporting, 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 have experience troubleshooting high-speed fabrics such as InfiniBand and/or RoCEv2 Ethernet

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

Knowledge of distributed training performance (NCCL, GPUDirect RDMA, multi-rail networking)

Generous equity grant

Team members are offered a competitive salary along with equity in the company

Visa Sponsorships

Yes, we sponsor visas and work permits

Retirement matching

We match 401(k) plans up to 4%

Medical, dental & vision

We offer competitive medical, dental, vision insurance for employees and dependents and cover 100% of premiums

Time off

We offer unlimited paid time off as well as 10+ observed holidays

Parental leave

We offer biological, adoptive, and foster parents paid time off to spend quality time with family

Daily lunch

We cover lunch daily for employees

Unlimited office book budget

You can buy as many books for the office as you want

The San Francisco Compute Company is committed to maintaining a workplace free from discrimination and harassment.

We make employment decisions based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, belief, national origin, social or ethical origin, age, physical, mental, or sensory disability, sexual orientation, gender identity or expression, marital status, civil union or domestic partnership status, past or present military service, HIV status, family medical history or genetic information, family or parental status including pregnancy, or any other status protected by law.

We welcome the opportunity to consider qualified applicants with prior arrest or conviction records. Our commitment to diversity includes hiring talented individuals regardless of their criminal history, in accordance with local, state, and federal laws, including San Francisco’s Fair Chance Ordinance and California’s ban-the-box laws.

If you require reasonable accommodation for any reason, please reach out to us at [email protected]

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