GPT基础设施负责人
GPT Infrastructure Lead
团队介绍
OpenAI 的工业计算团队负责在自有的数据中心、战略合作伙伴和工业基础设施环境中构建和扩展大规模计算能力。我们专注于将电力、土地、硬件和运营执行转化为可靠的计算能力，以支持前沿的 AI 训练和推理工作负载。
该团队位于基础设施交付、硬件系统、公用事业、供应链和容量策略的交汇点，确保 OpenAI 能够比传统模式更快地扩展计算能力。
职位介绍
我们正在寻找一位 GPT 基础设施负责人，以推动工业规模基础设施投资转化为可用于 OpenAI 工作负载的可用 token 容量。
在此职位中，您将负责复杂的计算项目执行，其中原始的基础设施容量必须转化为可操作的 GPU 吞吐量。您需要协调数据中心交付、电力、网络、硬件部署、工作负载启用、财务和外部合作伙伴，以确保容量尽快且高效地转化为生产力。
此职位适合能够将物理基础设施交付与计算利用率结果相结合的人选。成功需要强大的系统思维、卓越的项目领导力，以及在内部团队和战略合作伙伴之间推动责任的能力。
在此职位中，您将：
- 在工业计算环境中领导 GPT 基础设施项目，包括自有和合作伙伴拥有的容量。
- 将交付的电力、空间和硬件容量转化为生产就绪的 token 吞吐量。
- 制定涵盖建设、电力启动、机架部署、网络、集群准备和工作负载上线的集成执行计划。
- 与基础设施工程、硬件、网络、财务、供应链和运营团队合作。
- 推动外部供应商、EPC、OEM、公用事业和战略合作伙伴实现激进的时间表。
- 识别物理交付与可用计算输出之间的瓶颈，并领导解决。
- 建立 TaaS 项目的运营节奏、仪表盘、预测和高管报告。
- 开发可重复使用的部署模型，用于未来的工业计算扩展。
如果您具备以下条件，可能会在这个职位上表现出色：
- 曾领导过超大规模基础设施、数据中心、制造或工业部署项目。
- 理解电力 + 硬件
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About the Team
OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads.
This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow.
About the Role
We are seeking a GPT Infrastructure Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads.
In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible.
This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners.
In this role, you will
- Lead GPT Infrastructure programs across industrial compute environments, including first-party and partner-owned capacity.
- Convert delivered power, space, and hardware capacity into production-ready token throughput.
- Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding.
- Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams.
- Drive external providers, EPCs, OEMs, utilities, and strategic partners toward aggressive timelines.
- Identify bottlenecks between physical delivery and usable compute output, then lead resolution.
- Build operating cadences, dashboards, forecasts, and executive reporting for TaaS programs.
- Develop repeatable deployment models for future industrial compute expansion.
You might thrive in this role if you
- Have led hyperscale infrastructure, data center, manufacturing, or industrial deployment programs.
- Understand how power + hardware + networking + software combine into usable compute.
- Can operate equally well with engineers, operators, executives, and external partners.
- Are highly structured in ambiguous, fast-moving environments.
- Know how to escalate intelligently and maintain momentum under pressure.
- Can translate technical execution into business outcomes.
Preferred Skills
- Experience with GPU clusters, AI infrastructure, hyperscale data centers, or industrial technology programs.
- Background in program management, operations leadership, capacity delivery, or strategic infrastructure execution.
- Familiarity with utilities, construction, commissioning, networking, hardware deployment, or cluster bring-up.
- Experience managing multi-billion-dollar infrastructure or capacity programs.
- Strong executive communication and stakeholder management skills.
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.
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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