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Hardware Operations Engineer

OpenAI · San Francisco · Seattle · US - Remote

CHECKED 23H AGO

Frontier labremotesenior$157k–$302k
Apply on the lab’s site ↗

At a glance

Highlights

  • Serve as technical authority for hardware reliability at flagship AI campus.
  • Support large-scale AI campuses powering frontier training and inference.
  • Build operational standards scaling across future Stargate campuses.

What they offer

  • equity

Ideal candidate

Hands-on datacenter hardware leader who thrives in production environments and loves digging into complex failures. You partner well across teams and care about building reliable, scalable operations for cutting-edge AI infrastructure.

Requirements

  • 8+ years supporting large-scale datacenter hardware infrastructure
  • Deep expertise with server platforms, GPU systems, storage and rack integration
  • Strong experience diagnosing complex hardware failures in production
  • Experience leading root cause analysis and corrective actions
  • Understanding of hardware reliability and fleet-health management
  • Ability to operate independently in high-priority production environments
  • Excellent written and verbal communication skills
  • Experience developing operational processes and technical documentation
  • Ability to travel occasionally for new campus deployments
remote policy
onsite 5 days per week

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗