部署与运营技术负责人 — 定制基础设施
Tech Lead, Deployment & Operations — Custom Infrastructure
关于团队
OpenAI的硬件部门为先进AI工作负载的独特需求开发AI原生芯片和系统级解决方案。在Jalapeño等工作的基础上，该团队正在开发下一代AI原生芯片和高度集成的系统，以推动前沿模型的下一次发展。通过芯片、系统、工具和方法学的协同设计，该团队帮助为OpenAI的超级计算平台提供更快、更高效且可投入生产的硬件。
关于职位
我们正在寻找一名技术负责人，负责OpenAI的芯片与系统团队的部署和运维。此人将成为直接责任人，负责将OpenAI的定制芯片和相关系统引入数据中心环境，确保成功部署、启动、验证、运维准备以及大规模的持续可靠性。
该职位位于芯片、系统、基础设施、数据中心运维和软件的交汇点。您将领导一个团队，负责将新的硬件平台从实验室验证阶段过渡到生产数据中心部署。您将负责构建部署和运维定制AI硬件所需的运营流程、技术工作流、工具和跨职能协作。
理想的候选人既是强有力的领导者，也是深入的技术操作者。您应熟悉硬件启动、机群部署、调试、系统验证、数据中心集成和生产运维的技术细节。该职位需要强大的执行力、出色的跨职能判断力，以及在模糊、快速变化的环境中推动清晰度的能力。
在此职位中，您将：
- 领导负责在数据中心环境中部署和运维OpenAI的定制芯片和系统的团队
- 负责从硬件启动和验证到生产部署、运维准备和持续机群支持的全流程
- 与芯片、系统、软件、基础设施、网络、数据中心、供应链和外部合作伙伴团队紧密合作，确保大规模部署的成功
- 定义新硬件平台的部署流程、运维手册、技术就绪标准、升级路径和可靠性实践
- 推动跨职能执行，涵盖实验室启动、机架/系统集成、数据中心部署、机群运维
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ABOUT THE TEAM
OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform.
ABOUT THE ROLE
We are seeking a Technical Lead to lead deployment and operations for OpenAI’s Silicon & Systems team. This person will become the Directly-Responsible Individual responsible for bringing OpenAI’s custom silicon and associated systems into data center environments, ensuring successful deployment, bring-up, validation, operational readiness, and ongoing reliability at scale.
This role sits at the intersection of silicon, systems, infrastructure, data center operations, and software. You will lead a team focused on taking new hardware platforms from lab validation into production data center deployment. You will be responsible for building the operational processes, technical workflows, tooling, and cross-functional alignment required to deploy and operate custom AI hardware reliably in OpenAI’s supercomputing infrastructure.
The ideal candidate is both a strong leader and a deeply technical operator. You should be comfortable staying close to the technical details of hardware bring-up, fleet deployment, debugging, system validation, data center integration, and production operations. This role requires strong execution, excellent cross-functional judgment, and the ability to drive clarity in ambiguous, fast-moving environments.
IN THIS ROLE, YOU WILL:
- Lead a team responsible for deployment and operations of OpenAI’s custom silicon and systems in data center environments
- Own the path from hardware bring-up and validation through production deployment, operational readiness, and sustained fleet support
- Partner closely with silicon, systems, software, infrastructure, networking, data center, supply chain, and external partner teams to ensure successful deployment at scale
- Define deployment processes, operational playbooks, technical readiness criteria, escalation paths, and reliability practices for new hardware platforms
- Drive cross-functional execution across lab bring-up, rack/system integration, data center deployment, fleet monitoring, debugging, and issue resolution
- Stay hands-on technically through architecture reviews, deployment planning, failure analysis, operational debugging, and critical system-level decision-making
- Identify gaps in tooling, observability, automation, validation coverage, and operational processes, and build plans to close them
- Establish clear metrics for deployment readiness, reliability, performance, maintainability, and operational health
- Build a strong engineering culture grounded in ownership, technical rigor, operational excellence, and high-velocity execution
- Ensure OpenAI’s custom hardware platforms can be deployed and operated reliably, repeatably, and safely at scale
- Be a contributor and technical driver for the architecture and design of future ML systems
YOU MIGHT THRIVE IN THIS ROLE IF YOU:
- Enjoy mentoring and developing engineers while staying deeply engaged in technical execution
- Are excited by the challenge of bringing new custom hardware platforms into real-world production data center environments
- Can operate across silicon, systems, software, infrastructure, and data center operations
- Are comfortable leading through ambiguity, especially when the hardware, tooling, and operational model are still being built
- Have strong judgment around deployment sequencing, technical risk, operational readiness, and when to escalate
- Communicate clearly across technical and operational teams, and can align stakeholders through complex deployment and production issues
- Care deeply about building practical systems, tools, and processes that work reliably at scale
- Have a bias toward ownership and are comfortable jumping into urgent technical issues when needed
QUALIFICATIONS
- 8+ years of engineering experience in hardware systems, infrastructure, data center deployment, production operations, systems engineering, silicon bring-up, or related technical domains
- Strong technical depth in one or more of: hardware deployment, data center operations, rack-scale systems, silicon bring-up, systems validation, fleet operations, reliability engineering, infrastructure automation, or hardware/software integration
- Experience bringing complex hardware systems from development or validation into production environments
- Experience working closely with silicon, systems, software, infrastructure, networking, or data center teams
- Experience with deployment planning, operational readiness, incident response, debugging, and root-cause analysis for production systems
- Experience building tooling, automation, observability, or operational processes that improve deployment quality and fleet reliability
- Demonstrated ability to hire, develop, and lead senior technical talent
- Ability to move fluidly between people leadership, technical strategy, and hands-on operational problem solving
- Strong written and verbal communication skills, especially in high-urgency, cross-functional technical environments
- Experience working in fast-moving environments
To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.
Compensation Range: $342K - $445K USD
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 Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
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