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OpenAI

Data Center Hardware Quality – Reliability Engineer

OpenAI

. Own the end-to-end data-center hardware quality and reliability loop for OpenAI’s 3P infrastructure and 1P current and next-generation platforms .

Posted 9/28/2026full-timeSan Francisco • California • United StatesSeniorLead💰 $226,000 - $285,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in hardware quality and reliability engineering, with a strong focus on field-failure analysis, reliability statistics, and data-driven decision-making. Proficient in leading cross-functional teams and mentoring engineers to enhance product reliability and serviceability.

Highest-signal resume keywords
Hardware Quality/Reliability EngineeringField-Failure AnalysisReliability StatisticsFMEA/FTASQL and Python/R Proficiency

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Reliability StatisticsFMEAFTAField-Failure AnalysisCorrective-Action VerificationReliability GrowthTelemetry AnalysisData ModelingFailure AnalysisMetrics Definition
Soft Skills
Influencing Without AuthorityMentoringCross-Functional Collaboration
Tools & Technologies
SQLPythonLinuxBMCIPMIRedfishTelemetry ToolsAnalytics Tools
Industry Keywords
Data-Center OperationsMission-Critical InfrastructureRMACAPAHigh-Power DeliveryGPU/AI Server PlatformsDesign for ServiceabilitySupplier ExperienceAuditQBR

Tech Stack

Tools & technologies
LinuxPythonSQL

About the role

Key responsibilities & impact
  • Own the end-to-end data-center hardware quality and reliability loop for OpenAI’s 3P infrastructure and 1P current and next-generation platforms
  • Build and govern the field-quality data model across telemetry, tickets, RMA/repair, failure analysis, 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
  • Verify whether upstream changes reduce field recurrence
  • Define supplier/CM failure-analysis standards, field-data contracts, scorecards, escalation paths, and closure evidence
  • Provide serviceability, TCO, and spares inputs without owning inventory execution or procurement
  • Create executive decision packages covering population at risk, exposure, confidence, options, cost/risk, and recommendation
  • Run the cross-functional reliability council and mentor 1P and 3P Field Quality Engineers as the team grows

Requirements

What you’ll need
  • BS in electrical, mechanical, computer, materials, reliability engineering, physics, or equivalent experience; 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 hardware and system architecture across board, tray, rack, firmware, telemetry, manufacturing test, and fleet behavior
  • Reliability statistics knowledge: censored life data, Weibull/Poisson/binomial methods, confidence bounds, MTBF/MTTR, and reliability growth
  • Hands-on FMEA/FTA, accelerated or reliability-demonstration testing, 8D/CAPA, failure analysis, and corrective-action verification
  • Working proficiency with SQL and Python/R or equivalent analytics tools
  • Ability to influence design, validation, operations, suppliers/CMs, and senior leaders without direct authority
  • Preferred: GPU/AI server platforms, liquid cooling, high-power delivery, high-speed networking, rack integration, or data-center operations
  • Preferred: design for serviceability, FRU boundaries, diagnostics, repair workflows, tooling/access, and spares policy
  • Preferred: qualification-to-field correlation and mission-profile development
  • Preferred: ODM/CM/supplier experience in FA quality, audit, QBR, and corrective-action governance
  • Preferred: Linux/BMC/IPMI/Redfish logs and fleet telemetry
  • Preferred: leadership of a cross-generation reliability program or launch-readiness gate

Benefits

Comp & perks
  • Equity
  • Performance-related bonus(es) for eligible employees
  • Medical, dental, and vision insurance for you and your family
  • Employer contributions to Health Savings Accounts
  • Pre-tax Health FSA, Dependent Care FSA, and commuter expense accounts
  • 401(k) retirement plan with employer match
  • Paid parental leave up to 24 weeks for birth parents and 20 weeks for non-birthing parents
  • Paid medical and caregiver leave up to 8 weeks
  • Flexible PTO for exempt employees
  • Up to 15 days annually for non-exempt employees
  • 13+ paid company holidays
  • Paid coordinated company office closures
  • Paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in offices
  • Meal delivery credits as eligible
  • Relocation support for eligible employees
  • Charitable donation matching and wellness stipends may be provided