数据中心外壳规划负责人，工业计算
Data Center Shell Planning Lead, Industrial Compute
关于团队
OpenAI 与我们的资本合作伙伴紧密协作，正在打造全球最先进的 AI 基础设施生态系统。Site Readiness & Development 团队负责将 OpenAI 长期的基础设施需求转化为自建园区、租赁设施和战略开发合作中的可执行数据中心容量。
该团队在容量规划、电力、土地、房地产、设计、建设、财务和商业执行等方面开展工作，以确保在正确的位置和时间点上具备合适的基础设施，从而支持 OpenAI 的增长。
关于职位
我们正在寻找一名数据中心外壳规划负责人，负责未来数据中心外壳容量的组合级规划。该职位将把计算需求预测、电力可用性、技术要求和开发时间表转化为清晰的战略，明确 OpenAI 应该在哪里、何时以及多少外壳容量需要获得或建设。
您将评估自建、租赁、共置和开发合作伙伴路径下的容量；识别未来的供应缺口；推荐园区和建筑分阶段方案；并维护连接站点准备到建设、调试和运营交接的综合计划。
这是一个需要强大分析判断力、基础设施开发熟练度，并且能够在不依赖正式权威的情况下推动跨团队决策的个人贡献者领导角色。
主要职责
- 在优先地理区域中制定并维护多年期的数据中心外壳容量组合计划。
- 将计算预测、IT 负载需求、机架密度假设、电力时间表、冷却需求和部署时间线转化为站点和建筑需求。
- 确定外壳容量必须被获取、设计、建设、调试并准备好进行技术装修的时间节点。
- 将土地、公用事业、互联、许可、设计、采购、建设、调试和网络就绪时间表整合为一个统一的容量视图。
- 识别容量缺口、时间冲突、搁置容量风险和可能阻碍基础设施按时投入运营的依赖关系。
- 开发比较自建、租赁、共置和战略开发合作伙伴选项的情景模型。
- 根据时间表、成本、控制力、灵活性、可靠性、可扩展性和执行风险评估交付路径。
- 推荐园区和建筑的建设方案
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About the Team
OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team is responsible for translating OpenAI’s long-term infrastructure needs into executable data center capacity across self-build campuses, leased facilities, and strategic development partnerships.
The team works across capacity planning, power, land, real estate, design, construction, finance, and commercial execution to ensure the right infrastructure is available in the right locations and on the timelines required to support OpenAI’s growth.
About the Role
We are seeking a Data Center Shell Planning Lead to own portfolio-level planning for future data center shell capacity. This role will translate compute-demand forecasts, power availability, technical requirements, and development schedules into a clear strategy for where, when, and how much shell capacity OpenAI should secure or build.
You will evaluate capacity across self-build, lease, colocation, and development-partner pathways; identify future supply gaps; recommend campus and building phasing; and maintain the integrated plan connecting site readiness to construction, commissioning, and operational handoff.
This is an individual contributor lead role requiring strong analytical judgment, infrastructure-development fluency, and the ability to drive decisions across teams without relying on formal authority.
Key Responsibilities
- Develop and maintain a multi-year portfolio plan for data center shell capacity across priority geographies.
- Translate compute forecasts, IT-load requirements, rack-density assumptions, power schedules, cooling requirements, and deployment timelines into site and building requirements.
- Determine when shell capacity must be secured, designed, constructed, commissioned, and ready for technical fit-out.
- Integrate land, utility, interconnection, permitting, design, procurement, construction, commissioning, and network-readiness schedules into a single capacity view.
- Identify capacity gaps, schedule conflicts, stranded-capacity risks, and dependencies that could prevent infrastructure from becoming operational on time.
- Develop scenario models comparing self-build, lease, colocation, and strategic development-partner options.
- Evaluate delivery pathways based on schedule, cost, control, flexibility, reliability, scalability, and execution risk.
- Recommend campus, building, and utility phasing that preserves optionality while supporting near-term deployment requirements.
- Assess third-party proposals and determine whether proposed facilities, schedules, technical specifications, and commercial structures can satisfy OpenAI’s requirements.
- Partner with capacity planning, energy, real estate, site development, design, construction, commissioning, networking, finance, legal, and commercial teams.
- Establish planning assumptions, readiness criteria, decision gates, and governance for moving opportunities from portfolio planning into execution.
- Build dashboards and executive-ready materials that communicate capacity supply, demand, timing, assumptions, dependencies, and material risks.
- Support investment, build-versus-partner, geographic-prioritization, and portfolio-allocation decisions.
- Create repeatable planning frameworks and playbooks that allow OpenAI to scale shell-capacity decisions across regions and infrastructure generations.
Qualifications
- 8+ years of experience in data center development, infrastructure planning, capacity planning, real estate development, construction planning, program controls, or a related field.
- Experience developing or managing portfolio-level plans across multiple data center sites, buildings, or infrastructure programs.
- Strong understanding of the data center development lifecycle, including site readiness, power delivery, design, permitting, construction, commissioning, and operational turnover.
- Ability to translate technical and demand requirements into facility-capacity, schedule, and phasing decisions.
- Strong quantitative and scenario-modeling skills, including the ability to work with incomplete or changing assumptions.
- Experience evaluating competing delivery strategies and communicating cost, schedule, flexibility, and risk tradeoffs.
- Strong cross-functional program leadership and the ability to create alignment across technical, commercial, and operational organizations.
- Excellent written communication and executive-presentation skills.
- Comfort operating in a fast-moving environment where capacity requirements, technical assumptions, and delivery timelines may change quickly.
Preferred Skills
- Experience planning hyperscale data center campuses or infrastructure supporting high-density compute.
- Familiarity with powered-land development, utility and interconnection schedules, and campus-level power phasing.
- Experience evaluating self-build, build-to-suit, wholesale colocation, and third-party development models.
- Understanding of high-density electrical, mechanical, cooling, and network infrastructure requirements.
- Experience working with developers, capital partners, colocation providers, utilities, engineering firms, and construction organizations.
- Experience creating portfolio-planning systems, capacity dashboards, or executive decision frameworks for large infrastructure programs.
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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