Data Center Hardware Quality & Reliability Engineer
OpenAI · San Francisco
CHECKED 35M AGO
Frontier labremotesenior$226k–$285k
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