Data Center Hardware Quality & Reliability Engineer

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

Job summary

OpenAI is seeking an experienced Hardware Reliability lead in San Francisco to own end-to-end data-center quality across 3P infrastructure and 1P platforms. You will turn field failures into quantified risk, drive containment, and spearhead root-cause analysis with 8D/CAPA processes.

You will build scalable telemetry and governance, define key reliability metrics, and mentor next-gen Field Quality Engineers as the team grows, partnering with MQE and NPI to ensure durable upstream changes.

Qualifications

• 8+ years in hardware quality/reliability, server/rack systems, or mission-critical infrastructure.
• 3+ years owning field-failure, RMA, or CAPA outcomes.
• Hands‑on FMEA/FTA, accelerated or reliability‑demonstration testing, 8D/CAPA, FA, 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.

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.

Skills

SQL

Python/R

Education

BS in electrical, mechanical, computer, materials, reliability engineering, physics, or equivalent experience; MS preferred

Job description

About The Role

Own the end-to-end data-center hardware quality and reliability loop for OpenAI’s 3P infrastructure and 1P current and next-gen platforms. Turn field failures into quantified risk, fast containment, verified root cause, improved MQE/NPI and manufacturing-test coverage, accurate spares forecasts, and upstream changes that prevent recurrence.

Key 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.
• Provide serviceability, TCO, and spares inputs without owning inventory execution or procurement.
• Create concise executive decision packages: population at risk, exposure, confidence, options, cost/risk, and recommendation.
• Run the cross-functional reliability council and, as the team grows, mentor the 1P and 3P Field Quality Engineers.

Qualifications

• 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.
• Solid working understanding of hardware and system architecture across board, tray, rack, firmware, telemetry, manufacturing test, and fleet behavior; deep expertise in every subsystem is not required.
• Reliability statistics: 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, FA, 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 Skills

• GPU/AI server platforms, liquid cooling, high‑power delivery, high‑speed networking, rack integration, or data‑center operations.
• Design for serviceability: FRU boundaries, diagnostics, repair workflows, tooling/access, and spares policy.
• Qualification‑to‑field correlation and mission‑profile development.
• ODM/CM/supplier experience: FA quality, audit, QBR, and corrective‑action governance.
• Linux/BMC/IPMI/Redfish logs and fleet telemetry.
• Leadership of a cross‑generation reliability program or launch‑readiness gate.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affimative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $226K - $285K