HPC/ GPU Cluster Architect
San Francisco Compute
HPC/ GPU Cluster Architect
San Francisco Compute
Short-term access to large AI GPUs
San Francisco Compute (SFC) exists to give ambitious teams large scale supercomputers without taking on a catastrophic balance sheet risk. We are building the next generation of AI infrastructure, making large-scale GPU computing more accessible, flexible, and financially sustainable.
Unlike traditional GPU cloud providers, SFC combines supercomputer development and operations with an innovative compute marketplace, giving customers the flexibility to scale without the risks of rigid, long-term contracts.
We are a fast-growing team of ambitious, technically driven people working to shape the future of AI infrastructure. Our leadership team brings deep experience from Lambda, Crusoe, AWS, DigitalOcean, Hut 8, and Voltage Park, with a track record of deploying 8GW of data center capacity and hundreds of thousands of GPUs.
There has never been a more critical moment in history, and it is up to us to shape it on behalf of those who come after us. If you're excited by complex challenges, bold ideas, and meaningful impact, we'd love to meet you.
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.
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 domestic travel when required
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
Team members are offered a competitive salary along with equity in the company
We match 401(k) plans up to 4%
We offer highly competitive medical, dental, vision insurance for employees and dependents.
We offer unlimited paid time off as well as 10+ observed holidays
We offer biological, adoptive, and foster parents paid time off to spend quality time with family
We cover lunch daily for employees
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.
Short-term access to large AI GPUs
San Francisco Compute provides short-term access to large-scale GPU clusters for AI training and inference. Clients rent high-end hardware—like H100 GPUs—on a pay-per-use basis with no long-term contracts, enabling bursts of compute when needed. The service is designed for academia, startups, and enterprises that require substantial power for limited periods, with transparent, competitive pricing and strong technical support. The company differentiates itself by offering some of the lowest-priced H100 training clusters in the world, combined with fast, reliable help desk assistance. Its goal is to make high-performance computing affordable and flexible, so customers can scale computing power up or down according to demand.
Explore more opportunities at San Francisco Compute