{"id":1409389,"url":"https://alion.io/job/openai-data-center-hardware-quality-reliability-engineer","title":"Data Center Hardware Quality & Reliability Engineer","company":{"id":2,"name":"OpenAI","domain":"openai.com","url":"https://alion.io/company/openai","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":77,"open_postings":191,"ghost_share":0,"stale_share":0.911,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Hardware","role_family":"Hardware","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":226000,"max":285000,"currency":"USD","period":"year","gross":null,"usd_annual":285000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CAPA","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Linux","optional":true}],"status":"live","first_seen_at":"2026-09-28T17:24:02Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-16T04:47:19Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"About The Role\nOwn 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.\nThe first hire must combine practical hardware/system understanding, reliability engineering, data fluency, and cross-functional technical leadership at data-center scale.\nKey Responsibilities\nBuild and govern the field-quality data model across telemetry, tickets, RMA/repair, FA, firmware, configuration, supplier, and manufacturing genealogy.\nDefine AFR, ASR, DPPM, MTBF/MTTR, repeat-repair, NTF, repair-cycle-time, and forecast-versus-actual metrics with explicit denominators and uncertainty.\nProvide fleet-level macro views and unit/FRU/cohort-level micro views; detect shifts and bound affected populations.\nLead systemic field-failure triage, containment, failure analysis, 8D/CAPA, risk assessment, corrective-action verification, and recurrence monitoring.\nDevelop cohort, life-data, reliability-growth, and spare-demand projections by product, FRU, supplier, configuration, geography, and age.\nPartner 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.\nClose the loop by verifying whether upstream changes reduce field recurrence.\nDefine supplier/CM FA standards, field-data contracts, scorecards, escalation paths, and closure evidence.\nProvide serviceability, TCO, and spares inputs without owning inventory execution or procurement.\nCreate concise executive decision packages: population at risk, exposure, confidence, options, cost/risk, and recommendation.\nRun the cross-functional reliability council and, as the team grows, mentor the 1P and 3P Field Quality Engineers.\nQualifications\nBS in electrical, mechanical, computer, materials, reliability engineering, physics, or equivalent experience; MS preferred.\n8+ years in hardware quality/reliability, server/rack systems, or mission-critical infrastructure; 3+ years owning field-failure, RMA, or CAPA outcomes.\nSolid 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.\nReliability statistics: censored life data, Weibull/Poisson/binomial methods, confidence bounds, MTBF/MTTR, and reliability growth.\nHands-on FMEA/FTA, accelerated or reliability-demonstration testing, 8D/CAPA, FA, and corrective-action verification.\nWorking proficiency with SQL and Python/R or equivalent analytics tools.\nAbility to influence design, validation, operations, suppliers/CMs, and senior leaders without direct authority.\nPreferred Skills\nGPU/AI server platforms, liquid cooling, high-power delivery, high-speed networking, rack integration, or data-center operations.\nDesign for serviceability: FRU boundaries, diagnostics, repair workflows, tooling/access, and spares policy.\nQualification-to-field correlation and mission-profile development.\nODM/CM/supplier experience: FA quality, audit, QBR, and corrective-action governance.\nLinux/BMC/IPMI/Redfish logs and fleet telemetry.\nLeadership of a cross-generation reliability program or launch-readiness gate.\nAbout OpenAI\nOpenAI 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.\nWe 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.\nFor additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.\nBackground 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.\nTo 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.\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.\nOpenAI Global Applicant Privacy Policy\nAt 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.","description_format":"text","description_chars":6019,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Generative Video","Code Intelligence","Foundation Models","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-09-28T18:50:35Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 262 · green card filings: 3","filings_12m":262,"filings_prev_12m":114,"green_card_filings_12m":3,"median_offered_wage_usd":272217,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":15}],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.532,"p_room":1,"age_days":17,"expected_fill_days":51,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":285000,"is_top_pay":true},"html_url":"https://alion.io/job/openai-data-center-hardware-quality-reliability-engineer","json_url":"https://alion.io/job/openai-data-center-hardware-quality-reliability-engineer.json","meta":{"generated_at":"2026-10-16T08:51:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6883,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2},"rest":"https://alion.io/mcp/rest/get_company?id=2"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fopenai-data-center-hardware-quality-reliability-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fopenai-data-center-hardware-quality-reliability-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fopenai-data-center-hardware-quality-reliability-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/openai-data-center-hardware-quality-reliability-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fopenai-data-center-hardware-quality-reliability-engineer"}]}