S

San Francisco Compute

Short-term access to large AI GPUs

HPC/ GPU Cluster Architect

Site Reliability EngineeringUpdated on Nov 13
Full-timeBoston, MA, USA$220k - $300k /yr

About the Job

Requirements

  • At least 5 years of hands-on experience 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.
  • Ability to debug performance and reliability issues across hardware, operating systems, drivers, and networking layers.
  • Interest in automating fleet operations, including provisioning, monitoring, and remediation, and embracing infrastructure as code.
  • Ability to produce strong operational documentation and runbooks.
  • Ability and willingness to mentor junior engineers and contribute to team culture.
  • Willingness to travel domestically when required.

Responsibilities

  • Participate in the on-call rotation.
  • Deploy new environments and resolve issues as they arise.
  • Use automation to enable deployments at scale.
  • Architect and deploy new clusters around the world and keep them running smoothly.

Desired Qualifications

  • Familiarity with data center operations, including power, cooling, and colocation/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 such as KVM, QEMU, and libvirt.
  • Experience using telemetry pipelines for predictive hardware failure detection.
  • Experience troubleshooting high-speed fabrics such as InfiniBand and/or RoCEv2 Ethernet.

About the Company

San Francisco Compute

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.

Company size
51-200
Company stage
Series A
Total funding
$52M
Headquarters
San Francisco, CA
Founded
2023

Recently Posted Jobs

Explore more opportunities at San Francisco Compute

See more jobs