性能建模负责人
Performance Modeling Lead
关于团队
OpenAI 的硬件部门开发系统和基础设施解决方案，以满足先进 AI 工作负载的独特需求。我们与研究、软件和外部硬件合作伙伴紧密合作，塑造下一代 AI 系统，从芯片到全规模部署。
我们的团队专注于理解并优化整个系统堆栈的性能——确保架构决策基于对实际工作负载的严格、定量分析。
关于职位
我们正在寻找一位性能建模负责人，带领一个小型高影响力团队，负责回答跨 AI 基础设施系统的前瞻性架构问题。
您将开发建模框架和方法，以评估系统级权衡并指导关键设计决策。您的工作将直接影响参考架构、供应商设计和长期基础设施战略。
该职位位于人工智能工作负载、系统架构和量化建模的交汇点，需要强大的技术判断力、责任感以及将复杂分析转化为清晰、可操作建议的能力。
该职位位于加利福尼亚州旧金山。我们采用每周三天在办公室的混合办公模式，并提供搬迁协助。
主要职责
- 构建并维护一个性能建模框架/工具链，用于在多个抽象层次上评估 AI 系统。
- 分析并量化计算、内存、网络、存储和系统拓扑方面的架构权衡。
- 开发性能模型，以指导以下决策：
- 扩展规模 vs. 横向扩展架构
- 互连和网络设计
- 内存层次结构和系统平衡。
- 将建模结果转化为对内部团队和外部硬件供应商的明确建议。
- 通过数据驱动的洞察影响参考设计和供应商路线图。
- 与机器学习、系统和硬件团队密切合作，了解工作负载特征和需求。
- 领导并发展一个小型团队（2-3 名工程师），设定技术方向并保持建模严谨性的高标准。
- 通过与真实系统行为和测量进行验证，持续提升建模精度。
任职要求
- 有经验主导或构建用于推动实际系统设计决策的性能建模框架。
- 深入了解 AI/ML 工作负载，包括...
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About the Team
OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments.
Our team focuses on understanding and optimizing performance across the full system stack—ensuring that architectural decisions are grounded in rigorous, quantitative analysis of real-world workloads.
About the Role
We are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems.
You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy.
This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance.
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.
Key Responsibilities
- Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction.
- Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology.
- Develop performance models to guide decisions on:
- scale-up vs. scale-out architectures
- interconnect and network design
- memory hierarchy and system balance.
- Translate modeling outputs into clear recommendations for internal teams and external hardware vendors.
- Influence reference designs and vendor roadmaps through data-driven insights.
- Partner closely with machine learning, systems, and hardware teams to understand workload characteristics and requirements.
- Lead and grow a small team (2–3 engineers), setting technical direction and maintaining high standards for modeling rigor.
- Continuously improve modeling fidelity by validating against real system behavior and measurements.
Qualifications
- Have experience owning or building performance modeling frameworks used to drive real system design decisions.
- Have deep knowledge of AI/ML workloads, including training and/or inference at scale.
- Understand system-level tradeoffs across compute, memory, and networking in large-scale distributed systems.
- Are comfortable working across abstraction layers—from workload behavior to hardware implementation.
- Have experience using modeling (analytical or simulation) to inform architectural decisions.
- Can operate in ambiguous problem spaces and turn open-ended questions into structured analysis.
- Communicate clearly and influence both internal teams and external partners.
Preferred Skills
- Experience working with hardware vendors (ODM/JDM, silicon, networking).
- Background in data center infrastructure or hyperscale systems.
- Familiarity with accelerators (GPUs/ASICs) and interconnects (e.g., NVLink, InfiniBand, Ethernet).
- Experience influencing hardware roadmaps or reference architectures.
- Prior experience leading or mentoring engineers.
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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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.