{"id":65633,"url":"https://alion.io/job/openai-software-engineer-hardware-health","title":"Software Engineer, Hardware Health","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":78,"open_postings":196,"ghost_share":0,"stale_share":0.898,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","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":250000,"max":445000,"currency":"USD","period":"year","gross":null,"usd_annual":445000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"InfiniBand","optional":true},{"name":"Linux","optional":true}],"status":"live","first_seen_at":"2026-05-11T21:03:23Z","employer_posted_date":"2026-05-11","last_verified_at":"2026-10-18T08:02:55Z","board_verified":true,"closed_at":null,"days_open":159,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":159},"description":"About the Team\nThe Hardware Health and Observability team owns the end-to-end health lifecycle of OpenAI’s global compute fleet.\nOur mission is to maximize healthy, usable compute across accelerator vendors, generations, cloud providers, and regions through reliable health signals, automated remediation, and scalable operational tooling.\nWe build the systems that observe, detect, remediate, and verify hardware issues across GPUs, CPUs, networking, and platform infrastructure, enabling frontier model training and inference workloads to run reliably at hyperscale. We are the last line of defense for the success of OAI’s production and research workloads.\nAbout the Role\nOn the Hardware Health and Observability team, you’ll build critical infrastructure that keeps OpenAI’s largest compute clusters healthy and operational at scale.\nEven small numbers of unhealthy systems can impact large-scale training and inference workloads. This team focuses on minimizing downtime, improving fleet efficiency, and ensuring compute resources remain continuously available to researchers and product teams.\nEngineers on this team own problems end-to-end, from defining health signals and debugging failures to building automated remediation systems that operate across millions of GPUs globally.\nIn this role, you will:\nDefine and maintain health signals across GPUs, CPUs, networking, and platform infrastructure.\n\nBuild and evolve health checks that detect, remediate, and verify failures at scale.\n\nEnsure critical health checks execute with minimal latency to maximize workload uptime.\n\nInvestigate hardware failures and system-level issues across large-scale compute environments.\n\nOwn node lifecycle workflows including drain, quarantine, repair, RMA, and return-to-service processes.\n\nBuild automation and tooling that enables global cluster management with minimal manual intervention.\n\nPartner with workload, reliability, and provider teams to integrate health signals into training and inference systems.\n\nYou might thrive in this role if you have:\n7+ years of industry experience in software or infrastructure engineering.\n\nStrong proficiency with Python and shell scripting.\n\nExperience building large-scale distributed systems or infrastructure platforms.\n\nComfort digging into noisy operational data using SQL, PromQL, or similar tooling.\n\nExperience building reproducible analyses and operational tooling.\n\nStrong systems debugging and operational instincts with an ownership mindset.\n\nBonus if you have:\nExperience with low-level hardware systems and Linux tooling (e.g. PCIe, InfiniBand, RoCE, networking, power management, kernel performance tuning, FW/SW debugging).\n\nExperience operating or debugging large-scale GPU or accelerator clusters.\n\nExpertise in network operations, observability, or systems telemetry.\n\nExperience with automated remediation systems or fleet lifecycle management.\n\nExperience improving reliability, utilization, or workload uptime in distributed compute environments.\n\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. 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