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Hardware Operations Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: OpenAI
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Hardware Engineer, Systems Engineer
  • Engineering
    Hardware Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. Our Industrial Compute organization develops and deploys large-scale AI campuses designed to support the next generation of frontier model training and inference workloads.

The Hardware Operations team is responsible for ensuring the reliability, availability, and lifecycle health of OpenAI’s compute infrastructure. We partner closely with Data Center Operations, Fleet Health Engineering, Manufacturing, Network Infrastructure, Capacity Planning, and our infrastructure partners to maintain world-class operational performance across rapidly expanding AI environments.

As we scale globally, we are building the operational frameworks, reliability standards, and sustaining engineering practices required to support thousands of GPUs and servers across multiple campuses.

About the Role

We are seeking a Datacenter Hardware Technician Lead to serve as the senior on-site technical authority for hardware reliability and fleet health at one of OpenAI’s flagship AI campuses.

This role operates at the intersection of hardware operations, sustaining engineering, and fleet reliability. You will partner closely with Cloud Service Provider operations teams, OpenAI fleet-health engineers, hardware engineering teams, and OEM vendors to identify, diagnose, and resolve hardware issues affecting production systems.

Beyond day-to-day operational support, you will drive root cause investigations, reliability improvement initiatives, lifecycle management programs, and operational readiness efforts. You will help establish hardware maintenance standards, operational procedures, and best practices that scale across future OpenAI infrastructure deployments.

The ideal candidate combines deep hands‑on datacenter hardware expertise with strong troubleshooting, failure analysis, and cross‑functional leadership skills.

Candidates must be able to sit onsite at our datacenters 5 days per week.

Key Responsibilities

Drive technical triage and resolution of complex hardware failures impacting production systems.

Partner with Fleet Health Engineering to investigate recurring hardware issues, identify failure patterns, and improve fleet reliability.

Lead root cause analysis (RCA) efforts for critical hardware incidents and develop corrective and preventive action plans.

Collaborate with Cloud Service Provider operations teams and OEM vendors to coordinate repairs, replacements, upgrades, and hardware lifecycle activities.

Establish and continuously improve hardware maintenance procedures, operational runbooks, and troubleshooting standards.

Analyze hardware failure trends and operational metrics to identify reliability risks and improvement opportunities.

Support new hardware introductions, validation activities, and production readiness reviews.

Coordinate spare parts strategy and inventory planning with supply chain and site teams.

Partner with Hardware Engineering, Manufacturing, and Infrastructure teams to provide field feedback that improves future platform designs.

Develop scalable operational standards and best practices that can be deployed across future Stargate campuses.

Mentor on-site technicians and partner teams on advanced troubleshooting methodologies and hardware operational excellence.

Qualifications

8+ years of experience supporting large-scale datacenter hardware infrastructure, with experience in a senior technician, sustaining engineering, or hardware operations leadership role.

Deep expertise with server platforms, GPU systems, storage infrastructure, rack integration, and datacenter hardware architecture.

Strong experience diagnosing complex hardware failures and leading repair efforts in production…

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