Senior Data Center Hardware Reliability Engineer

OpenAI, Inc.; San Francisco (CA); On-site; USD 226,000 - 285,000; Full time

Benefits offered by this job

Relocation support

Daily meals in our offices

Learning and development stipend

Parental leave

Job summary

OpenAI is seeking a Data Center Hardware Quality & Reliability Engineer in San Francisco to own end-to-end hardware quality and reliability across 3P and 1P platforms. You will translate field failures into quantified risk, drive containment, root-cause verification, and upstream design improvements for MQE and NPI, at data-center scale.

The ideal candidate blends hardware/system expertise with reliability engineering, data fluency, and cross-functional leadership, shaping fleet-wide diagnostics

Qualifications

• 8+ years in hardware quality/reliability, server/rack systems, or mission-critical infrastructure.
• 3+ years owning field-failure, RMA, or CAPA outcomes.
• Working proficiency with SQL and Python/R or equivalent analytics tools.

Responsibilities

• Build and govern the field-quality data model across telemetry, tickets, RMA/repair, FA, firmware, configuration, supplier, and manufacturing genealogy.
• Define AFR, ASR, DPPM, MTBF/MTTR, repeat-repair, NTF, repair-cycle-time, and forecast-versus-actual metrics with explicit denominators and uncertainty.
• Provide fleet-level macro views and unit/FRU/cohort-level micro views; detect shifts and bound affected populations.
• Lead systemic field-failure triage, containment, failure analysis, 8D/CAPA, risk assessment, corrective-action verification, and recurrence monitoring.
• Develop cohort, life-data, reliability-growth, and spare-demand projections by product, FRU, supplier, configuration, geography, and age.
• Partner with MQE and NPI to convert field mechanisms into manufacturing-test coverage, screening/stress profiles, diagnostics, control plans, DFR/DFS requirements, FMEA/FTA, mission profiles, FRU strategy, and qualification gates.
• Close the loop by verifying whether upstream changes reduce field recurrence.
• Define supplier/CM FA standards, field-data contracts, scorecards, escalation paths, and closure evidence.

Skills

Hardware reliability

Data-center systems

SQL

Python/R

Cross-functional leadership

FMEA/FTA

Education

BS in electrical engineering

MS preferred

Tools

Linux/BMC/IPMI/Redfish

Job description

OpenAI is seeking a Data Center Hardware Quality & Reliability Engineer in San Francisco to own end-to-end hardware quality and reliability across 3P and 1P platforms. You will translate field failures into quantified risk, drive containment, root-cause verification, and upstream design improvements for MQE and NPI, at data-center scale.

The ideal candidate blends hardware/system expertise with reliability engineering, data fluency, and cross-functional leadership, shaping fleet-wide diagnostics