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Data Center Hardware Quality & Reliability Engineer

OpenAI · San Francisco

CHECKED 35M AGO

Frontier labremotesenior$226k–$285k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own end-to-end hardware quality loop for OpenAI 3P and next-gen 1P platforms.
  • Turn field failures into risk quantification, containment, and recurrence prevention.
  • Run cross-functional reliability council and shape fleet-wide quality strategy.

What they offer

  • Equity

Ideal candidate

A data-driven hardware reliability leader who thrives turning field failures into prevention at data-center scale. You care about quantified risk, fleet health, and influencing design through closed-loop quality.

Requirements

  • BS in electrical, mechanical, computer, materials, reliability engineering, physics or equivalent; MS preferred
  • 8+ years in hardware quality/reliability, server/rack systems or mission-critical infrastructure
  • 3+ years owning field-failure, RMA or CAPA outcomes
  • Working understanding of board, tray, rack, firmware, telemetry, manufacturing test and fleet behavior
  • Reliability statistics: censored life data, Weibull/Poisson/binomial, confidence bounds, MTBF/MTTR, reliability growth
  • Hands-on FMEA/FTA, accelerated testing, 8D/CAPA, failure analysis and corrective-action verification
  • Proficiency with SQL and Python/R or equivalent analytics tools
  • Ability to influence design, validation, operations, suppliers/CMs and senior leaders without direct authority

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 ↗