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San Francisco Compute

Short-term access to large AI GPUs

HPC Data Center Operations Engineer

System AdministrationPosted on Nov 12
Full-timeSan Francisco, CA, USANo salary listed

About the Job

Requirements

  • Be based in the San Francisco Bay Area and have at least 5 years of experience in data center operations, infrastructure support, or systems administration, including hands-on hardware and cabling responsibility.
  • Have experience with high-density fiber trunks and breakouts, end-face inspection and cleaning, and transceiver swaps; be able to distinguish dirty connectors from failing optics.
  • Have replaced server field-replaceable units and racked, cabled, and commissioned equipment, and work safely around energized racks.
  • Have hardware procurement experience, including bills of materials, vendor quotes, purchase orders, receiving, warranties, and return merchandise authorizations.
  • Maintain accurate inventory and asset records across multiple sites.
  • Be comfortable with TCP/IP, DHCP, DNS, VLANs, out-of-band management tools including IPMI, iDRAC, iLO, and Redfish, and the Linux command line.
  • Be open to occasional travel to remote sites and after-hours maintenance windows when required.
  • Be able to lift and position equipment up to 50 pounds unassisted, with heavier chassis moved by team lift; work at elevation and in confined spaces behind racks; stand and walk for extended periods; perform fine motor tasks with optics and liquid-cooling quick-disconnects; work in sustained cold-aisle temperatures and elevated noise; read small-format labels and status indicators; and wear required personal protective equipment.

Responsibilities

  • Rack and commission systems, replace failed components, and manage fiber, transceivers, and liquid-cooling equipment.
  • Maintain accurate asset records and manage procurement, including bills of materials, vendor quotes, lead times, spares, warranties, and return merchandise authorizations.
  • Support office information technology, which accounts for approximately 20% of the role.
  • Make regular visits to local facilities and occasionally travel to remote sites.
  • Help establish standards, develop runbooks, and mentor future team members.

Desired Qualifications

  • Experience in high-performance computing, GPU, or other high-density compute environments, including HGX- or DGX-class platforms and rack-scale designs.
  • Experience with InfiniBand or high-rate Ethernet at 400G and above.
  • Experience with liquid cooling, including coolant distribution units, manifolds, and direct-to-chip cold plates.
  • Colocation experience and familiarity with the tenant/operator relationship.
  • Experience with NetBox or similar data center infrastructure management tools, and procurement or enterprise resource planning systems.
  • Scripting for automation and inventory reconciliation using Bash, Python, or PowerShell.
  • Experience with enterprise wireless platforms such as Meraki, Ubiquiti, Aruba, or Mist; mobile device management platforms such as Jamf, Intune, or Kandji; and identity providers such as Okta, Google Workspace, or Entra ID.
  • Certifications such as CompTIA Server+, Cisco CCNA, or NVIDIA credentials.

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

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