OpenAI
Hardware Operations Engineer
$157K–$302K
San Francisco +2 · Hybrid · Full-time · Posted Jun 20, 2026
- Location
- San Francisco
Seattle
US - Remote - Experience
- 8+ years; experience in a senior technician, sustaining engineering, or hardware operations leadership role.
About the job
Own hardware reliability and fleet health at an AI campus by diagnosing production failures, improving reliability, and establishing scalable operations practices.
What you'll do
- Triage complex hardware failures, lead root-cause investigations, and drive corrective and preventive actions.
- Improve fleet reliability through failure-trend analysis, maintenance standards, operational procedures, and lifecycle programs.
- Coordinate repairs, hardware introductions, inventory planning, and operational readiness with internal teams, service providers, and OEM vendors.
What they ask for
- 8+ years supporting large-scale datacenter hardware infrastructure, including experience in a senior technician, sustaining engineering, or hardware operations leadership role.
- Expertise with server platforms, GPU systems, storage infrastructure, rack integration, and datacenter hardware architecture.
- Experience diagnosing complex hardware failures and leading production repair efforts, root-cause analysis, and long-term corrective actions.
- Must be able to work onsite at datacenters 5 days per week; occasional travel is required.
Nice to have
- Experience with large-scale GPU clusters or AI/ML infrastructure; familiarity with fleet health systems, telemetry, and hardware monitoring tools.
- Experience with failure analysis methods such as FRACAS, RCCA, 5-Why, Fishbone, or FMEA; Linux system administration is also a plus.
Pay
$157K – $302K USD base salary
Tools
server platforms, GPU systems, storage infrastructure, Linux
AI focus
Supports hardware operations and reliability for infrastructure used in frontier AI model training and inference.
Model-written summary · the original posting is authoritative