OpenAI의 Hardware Health 팀에서 대규모 컴퓨팅 클러스터의 안정성을 책임질 엔지니어를 찾습니다. 7년 이상의 경력을 바탕으로 분산 시스템 구축 및 하드웨어 장애 자동화 솔루션을 개발합니다. Python과 Shell을 활용해 GPU 및 인프라의 상태를 모니터링하고, 글로벌 규모의 운영 효율성을 극대화하는 핵심 인프라를 설계하는 역할입니다.
The Hardware Health and Observability team owns the end-to-end health lifecycle of OpenAI’s global compute fleet.
Our 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.
We 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.
On the Hardware Health and Observability team, you’ll build critical infrastructure that keeps OpenAI’s largest compute clusters healthy and operational at scale.
Even 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.
Engineers 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.
In this role, you will:
Define and maintain health signals across GPUs, CPUs, networking, and platform infrastructure.
Build and evolve health checks that detect, remediate, and verify failures at scale.
Ensure critical health checks execute with minimal latency to maximize workload uptime.
Investigate hardware failures and system-level issues across large-scale compute environments.
Own node lifecycle workflows including drain, quarantine, repair, RMA, and return-to-service processes.
Build automation and tooling that enables global cluster management with minimal manual intervention.
Partner with workload, reliability, and provider teams to integrate health signals into training and inference systems.
7+ years of industry experience in software or infrastructure engineering.
Strong proficiency with Python and shell scripting.
Experience building large-scale distributed systems or infrastructure platforms.
Comfort digging into noisy operational data using SQL, PromQL, or similar tooling.
Experience building reproducible analyses and operational tooling.
Strong systems debugging and operational instincts with an ownership mindset.
Experience with low-level hardware systems and Linux tooling (e.g. PCIe, InfiniBand, RoCE, networking, power management, kernel performance tuning, FW/SW debugging).
Experience operating or debugging large-scale GPU or accelerator clusters.
Expertise in network operations, observability, or systems telemetry.
Experience with automated remediation systems or fleet lifecycle management.
Experience improving reliability, utilization, or workload uptime in distributed compute environments.
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 Affirmative 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.
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