软件工程师，AI 芯片设计
Software Engineer, AI for Chip Design
关于团队
OpenAI 开发能够通过复杂问题进行推理的模型以及满足先进人工智能需求的硬件。AI for Chips 将这些努力联系在一起：将日益强大的 AI 系统应用于半导体工程工作。
我们的目标是帮助工程师开发更好的芯片并缩短设计周期。这项工作将研究、模型训练和硬件专业知识结合起来，构建工程师可以在实际设计中使用的工具，以正确性和可衡量的性能为核心。
关于职位
我们正在招聘一名软件工程师，负责构建帮助 OpenAI 模型设计硅片的研究基础设施和工具。你将把芯片设计流程转化为适用于强化学习和评估的可靠环境，并让研究人员更容易运行实验并迭代新想法。
你将在软件工程、工具集成和开放研究问题之间来回切换。我们重视扎实的编码基础、清晰的技术判断力和独立执行能力。之前有芯片设计经验会有帮助，但你可以在与团队的硬件专家一起工作的过程中学习该领域。
在这个职位中，你将：
- 构建和维护强化学习环境、评估和长期实验的基础架构。
- 将电子设计自动化（EDA）工具集成到 RTL 生成、验证和物理设计优化的工作流中。
- 提高实验的可靠性、可重复性、可观测性和性能；调试跨工具、服务和基础架构的故障。
- 开发工具和模型接口，使研究人员能够快速测试想法并测量正确性以及功耗、性能和面积（PPA）。
- 与研究人员和工程师合作，将成功的实验转化为可重用的系统和训练工作流。
- 全程负责模糊项目，沟通进展，并利用结果指导下一步迭代。
如果你具备以下条件，可能会在这个职位中表现出色：
- 具有扎实的软件工程基础，有设计、实现和调试可靠系统的经验。
- 能够在技术栈中工作，调查不熟悉的故障，并在速度、正确性和可维护性之间做出实际权衡。
- 独立完成过大型软件项目，并能解释你的技术决策及其影响。
- 能够与研究人员协作，应对不断变化的需求，并将开放性问题转化为可行的软件。
查看英文原文
ABOUT THE TEAM
OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering.
Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center.
ABOUT THE ROLE
We’re hiring a Software Engineer to build the research infrastructure and tooling that help OpenAI models design silicon. You’ll turn chip-design workflows into reliable environments for reinforcement learning and evaluation, and make it easier for researchers to run experiments and iterate on new ideas.
You’ll move between software engineering, tool integration, and open research problems. We value strong coding fundamentals, clear technical judgment, and independent execution. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists.
IN THIS ROLE, YOU WILL:
- Build and maintain infrastructure for reinforcement learning environments, evaluations, and long-running experiments.
- Integrate electronic design automation (EDA) tools into workflows for RTL generation, verification, and physical design optimization.
- Improve experiment reliability, reproducibility, observability, and performance; debug failures across tools, services, and infrastructure.
- Develop tooling and model harnesses that let researchers test ideas quickly and measure correctness and power, performance, and area (PPA).
- Collaborate with researchers and engineers to turn successful experiments into reusable systems and training workflows.
- Own ambiguous projects end to end, communicate progress, and use results to guide the next iteration.
YOU MIGHT THRIVE IN THIS ROLE IF YOU:
- Have strong software engineering fundamentals, with experience designing, implementing, and debugging reliable systems.
- Can work across a stack, investigate unfamiliar failures, and make practical tradeoffs between speed, correctness, and maintainability.
- Have independently delivered substantial software projects and can explain your technical decisions and their impact.
- Are comfortable working with researchers on evolving requirements and turning open-ended problems into working software.
- Are interested in learning how reinforcement learning and chip-design tools fit together.
- Care about developing safe, beneficial AI.
NICE TO HAVE:
- Experience with research infrastructure, distributed systems, experiment orchestration, or ML tooling.
- Familiarity with reinforcement learning, model evaluations, or training workflows.
- Experience with Python, containerized tools, and reproducible development environments.
- Experience with RTL, Verilog/SystemVerilog, EDA tools, formal verification, or chip-design automation.
To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.
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.