性能建模工程师
Performance Modeling Engineer
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。我们与架构、基础设施和供应商团队紧密合作，评估系统性能并指导关键设计决策。
我们的团队专注于构建和应用性能建模框架，以理解系统行为、量化权衡，并为下一代基础设施设计提供依据。
关于职位
我们正在寻找性能建模工程师，负责开发和应用建模工具，以评估 AI 系统性能并指导架构决策。
在此职位中，您将与性能建模负责人及合作伙伴团队密切协作，分析系统行为，运行仿真或分析模型，并帮助量化计算、内存、网络和存储之间的权衡。您将参与构建建模框架，并将其应用于影响系统设计和供应商决策的实际问题。
该职位适合具有扎实软件或建模背景，并希望在系统架构和 AI 基础设施方面发展更深入专业知识的工程师。
该职位位于加利福尼亚州旧金山。我们采用每周 3 天在办公室工作的混合工作模式，并提供搬迁协助。
主要职责
- 开发和维护性能建模工具和框架。
- 构建模型以评估以下方面的系统行为：
- 计算、内存和互连子系统
- 分布式系统扩展和瓶颈。
- 运行仿真和分析模型，以支持架构权衡分析。
- 与性能建模负责人和系统架构师协作，回答前瞻性设计问题。
- 分析和解释建模结果，将结果转化为可操作的见解。
- 将模型与真实系统测量和工作负载行为进行验证。
- 贡献于提升建模的精度、可用性和可扩展性。
任职要求
- 扎实的软件工程或建模背景（例如，仿真、系统建模或性能分析）。
- 熟悉系统架构基础（计算、内存、网络）。
- 具备编程和构建技术工具或框架的经验。
- 能够分析性能瓶颈和扩展行为。
- 强大的分析能力，能够熟练处理定量模型。
- 能够跨团队协作。
查看英文原文
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 architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions.
Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and inform next-generation infrastructure design.
About the Role
We are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions.
In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions.
This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure.
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
- Develop and maintain performance modeling tools and frameworks.
- Build models to evaluate system behavior across:
- compute, memory, and interconnect subsystems
- distributed system scaling and bottlenecks.
- Run simulations and analytical models to support architectural tradeoff analysis.
- Collaborate with performance modeling lead and system architects to answer forward-looking design questions.
- Analyze and interpret modeling outputs, translating results into actionable insights.
- Validate models against real system measurements and workload behavior.
- Contribute to improving modeling fidelity, usability, and scalability.
Qualifications
- Strong software engineering or modeling background (e.g., simulation, systems modeling, or performance analysis).
- Familiarity with system architecture fundamentals (compute, memory, networking).
- Experience with programming and building technical tools or frameworks.
- Ability to reason about performance bottlenecks and scaling behavior.
- Strong analytical skills and comfort working with quantitative models.
- Ability to collaborate across teams and learn new system domains quickly.
Preferred Skills
- Exposure to AI/ML workloads or distributed systems.
- Experience with simulation tools, performance modeling, or systems analysis.
- Familiarity with data center infrastructure or large-scale systems.
- Experience working with performance data, benchmarking, or profiling tools.
- Interest in system architecture and hardware/software co-design.
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.