计算基础设施技术项目经理
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Technical Program Manager, Compute InfrastructureOpenAI · San Francisco · $257k – $335k
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职位描述
机器翻译关于团队 计算基础设施团队负责运行支撑 ChatGPT 和 API 背后模型的 GPU 集群和大规模计算集群,同时也为我们的下一代模型支持训练工作负载。我们运营着大规模、现代化的 GPU 集群,并为 OpenAI 其他团队提供统一平台,使其能够无缝运行生产环境中的应用 AI 和研究训练工作负载。 我们力求从部署中学习,并让 AI 的益处得到广泛分配,同时确保这一强大工具被负责任且安全地使用。对我们而言,安全比不受约束的增长更重要。
关于该职位 你将加入一个以工程师为先的 TPM 团队,担任计算基础设施技术项目经理,负责大规模 GPU 集群的端到端交付,并与工程师合作,在外部提供商和合作伙伴处将集群上线。你将管理一个广泛且并行的项目组合,涵盖硬件、网络、电力和冷却——推动执行、风险管理,并促成从工作团队到领导层的清晰一致,以大规模交付可投入生产的容量。 该职位位于加利福尼亚州旧金山。我们采用每周 3 天到办公室的混合工作模式,并为新员工提供搬迁协助。
在该职位中,你将: • 领导新计算 SKU 和大规模 GPU 集群在外部合作伙伴生态系统中的端到端交付,同时支持训练和推理的容量规划。
• 具备根据具体情境推动跨硬件、网络、电力和冷却的多线程启动项目的能力——负责计划、依赖关系和关键路径。
• 与芯片提供商对接,通过跨内核、通信、硬件和调度工程团队合作,降低长期引入新硬件平台的风险。
• 构建并运营项目机制(路线图、里程碑、风险登记册、运行手册),使大规模交付可预测。
• 与工程团队合作,提高集群上线可靠性、可重复性和自动化程度,缩短新容量的上线服务时间。
• 支持网络运营以及 OpenAI 网络接入点(PoPs)的端到端物理和逻辑启动,包括现场部署、机架布线,以及与工程团队密切协作。
• 协调跨职能准备工作(安全、财务、运营、产品/研究相关方),以交付可投入生产的计算资源。
• 管理跨团队和合作伙伴的集成与交接——确保执行一致、沟通清晰并快速解决问题。
• 识别瓶颈和系统性缺口,然后推动在工具、
岗位职责
你将加入一个以工程师为先的 TPM 团队,担任计算基础设施技术项目经理,负责大规模 GPU 集群的端到端交付,并与工程师合作,在外部提供商和合作伙伴处将集群上线。你将管理一个广泛且并行的项目组合,涵盖硬件、网络、电力和冷却——推动执行、风险管理,并促成从工作团队到领导层的清晰一致,以大规模交付可投入生产的容量。 该职位位于加利福尼亚州旧金山。我们采用每周 3 天到办公室的混合工作模式,并为新员工提供搬迁协助。
在该职位中,你将: • 领导新计算 SKU 和大规模 GPU 集群在外部合作伙伴生态系统中的端到端交付,同时支持训练和推理的容量规划。
• 具备根据具体情境推动跨硬件、网络、电力和冷却的多线程启动项目的能力——负责计划、依赖关系和关键路径。
• 与芯片提供商对接,通过跨内核、通信、硬件和调度工程团队合作,降低长期引入新硬件平台的风险。
• 构建并运营项目机制(路线图、里程碑、风险登记册、运行手册),使大规模交付可预测。
• 与工程团队合作,提高集群上线可靠性、可重复性和自动化程度,缩短新容量的上线服务时间。
• 支持网络运营以及 OpenAI 网络接入点(PoPs)的端到端物理和逻辑启动,包括现场部署、机架布线,以及与工程团队密切协作。
• 协调跨职能准备工作(安全、财务、运营、产品/研究相关方),以交付可投入生产的计算资源。
• 管理跨团队和合作伙伴的集成与交接——确保执行一致、沟通清晰并快速解决问题。
• 识别瓶颈和系统性缺口,然后推动在工具、流程和合作伙伴接口方面实施持久修复。
• 就大量并行项目的进展、权衡和风险向高管提供清晰可见的信息。
如果你具备以下条件,你可能会在该职位中表现出色: • 拥有硬科学学位,或具备已证明的工程专业能力记录。
• 拥有 5 年以上重大项目项目管理经验,包括资本项目或超大规模基础设施部署。
• 展现出能够作为唯一负责推动和交付复杂项目的核心人员的能力。
• 能够自如管理跨职能和跨公司团队;具备推动信息与决策规范的经验。
• 拥有在紧迫期限内成功交付高关注度技术项目的丰富记录。
• 技术娴熟,并曾与最高水准的工程或基础研究团队有效合作。
• 拥有与外部供应商对接并领导外部供应商的经验,包括工程公司、设备供应商和/或建筑公司。
• 具备设计和实施简单、可扩展流程以解决复杂问题的专业能力。
• 拥有管理复杂依赖关系的经验,例如物流和/或供应链。
• 足智多谋、坚持不懈,并能在模糊且快节奏的环境中表现出色。
• 对 AGI 的影响感兴趣并深思熟虑。
关于 OpenAI OpenAI 是一家 AI 研究和部署公司,致力于确保通用人工智能造福全人类。我们推动 AI 系统能力边界,并寻求通过我们的产品将其安全部署到世界。AI 是一种极其强大的工具,其创建必须以安全和人类需求为核心;为实现我们的使命,我们必须包容并重视构成人类全貌的众多不同视角、声音和经验。 我们是提供平等机会的雇主,不因种族、宗教、肤色、国籍、性别、性取向、年龄、退伍军人身份、残疾、遗传信息或其他适用的受法律保护特征而歧视。 如需更多信息,请参阅 OpenAI 的平权行动和平等就业机会政策声明。 申请人的背景调查将依据适用法律进行,对于美国候选人,有逮捕或定罪记录的合格申请人将依据相关法律获得就业考虑,包括《旧金山公平机会条例》、《洛杉矶县雇主公平机会条例》和《加利福尼亚州公平机会法》。对于未建制洛杉矶县工作者:我们合理认为犯罪史可能与以下工作职责存在直接、不利和负面的关系,可能导致有条件录用通知被撤回:保护委托给你的计算机硬件免遭盗窃、丢失或损坏;在雇佣终止或任务结束时归还你持有的所有计算机硬件(包括其中包含的数据);以及维护专有、机密和非公开信息的保密性。此外,工作职责要求访问安全且受保护的信息技术系统以及相关数据安全义务。 如需通知 OpenAI 你认为该职位发布不合规,请通过此表单提交报告。与职位发布合规无关的询问将不会得到回复。 我们致力于为残障申请人提供合理便利,相关请求可通过此链接提出。 OpenAI 全球申请人隐私政策 在 OpenAI,我们相信人工智能有潜力帮助人们解决巨大的全球挑战,我们希望 AI 带来的益处能够被广泛共享。加入我们,共同塑造技术的未来。
以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。
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职位描述
About the Team The compute infrastructure team runs the GPU fleet and large-scale compute clusters that serve the models backing ChatGPT and the API, while also supporting training workloads for our next generation models. We operate a large, modern GPU fleet and provide a unified platform for other OpenAI teams to seamlessly run production Applied AI and Research training workloads. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
About the Role You will be part of an engineer-first TPM team as a Technical Program Manager for Compute Infrastructure who owns the end-to-end delivery of large-scale GPU clusters, partnering with engineers to bring clusters online across external providers and partners. You’ll run a broad, parallel portfolio spanning hardware, networking, power, and cooling—driving execution, risk management, and crisp alignment from working teams through leadership to deliver production-ready capacity at scale. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will: • Lead end-to-end delivery of both New Compute SKUs and large-scale GPU clusters across an external partner ecosystem while supporting capacity planning for training and inference.
• Ability to contextually drive multi-threaded bring-up programs spanning hardware, networking, power, and cooling—owning plans, dependencies, and critical paths.
• Interface with chip providers to derisk long-term onboarding to new hardware platforms by working across kernels, comms, hardware, and scheduling engineering teams.
• Build and operationalize program mechanisms (roadmaps, milestones, risk registers, runbooks) that make delivery predictable at massive scale.
• Partner with engineering to improve cluster turn-up reliability, repeatability, and automation, reducing time-to-serve for new capacity.
• Support network operations and end-to-end physical and logical bring-up of OpenAI network Points-of-Presence (PoPs), including on-site deployment, rack cabling, and close collaboration with engineering teams.
• Coordinate cross-functional readiness (security, finance, operations, product/research stakeholders) to ship production-ready compute.
• Manage integration and handoffs across teams and partners—ensuring consistent execution, clear communication, and fast issue resolution.
• Identify bottlenecks and systemic gaps, then drive durable fixes across tooling,
岗位职责
You will be part of an engineer-first TPM team as a Technical Program Manager for Compute Infrastructure who owns the end-to-end delivery of large-scale GPU clusters, partnering with engineers to bring clusters online across external providers and partners. You’ll run a broad, parallel portfolio spanning hardware, networking, power, and cooling—driving execution, risk management, and crisp alignment from working teams through leadership to deliver production-ready capacity at scale. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will: • Lead end-to-end delivery of both New Compute SKUs and large-scale GPU clusters across an external partner ecosystem while supporting capacity planning for training and inference.
• Ability to contextually drive multi-threaded bring-up programs spanning hardware, networking, power, and cooling—owning plans, dependencies, and critical paths.
• Interface with chip providers to derisk long-term onboarding to new hardware platforms by working across kernels, comms, hardware, and scheduling engineering teams.
• Build and operationalize program mechanisms (roadmaps, milestones, risk registers, runbooks) that make delivery predictable at massive scale.
• Partner with engineering to improve cluster turn-up reliability, repeatability, and automation, reducing time-to-serve for new capacity.
• Support network operations and end-to-end physical and logical bring-up of OpenAI network Points-of-Presence (PoPs), including on-site deployment, rack cabling, and close collaboration with engineering teams.
• Coordinate cross-functional readiness (security, finance, operations, product/research stakeholders) to ship production-ready compute.
• Manage integration and handoffs across teams and partners—ensuring consistent execution, clear communication, and fast issue resolution.
• Identify bottlenecks and systemic gaps, then drive durable fixes across tooling, process, and partner interfaces.
• Provide crisp executive visibility on progress, tradeoffs, and risks across a large portfolio of concurrent programs.
You might thrive in this role if you: • Possess a degree in a hard science, or have a demonstrated track record of engineering expertise.
• Have 5+ years of experience in program management for major projects including capital projects or hyperscaler infrastructure deployment.
• Demonstrate the ability to serve as the go-to person solely responsible for driving and delivering complex projects.
• Are comfortable managing cross-functional and cross-company teams; experience driving information and decision hygiene.
• Have an extensive track record of successfully delivering high-profile, technical projects against tight deadlines.
• Are technically adept and have effectively partnered with engineering or fundamental research teams of the highest caliber.
• Have experience interfacing with and leading external vendors including engineering firms, equipment suppliers, and/or construction firms.
• Have expertise in designing and implementing simple, scalable processes that solve complex problems.
• Have experience managing complicated dependencies such as logistics and/or supply chains.
• Are relentlessly resourceful and thrive in ambiguous, fast-paced environments.
• Are interested in and thoughtful about the impacts of AGI.
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 . 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.