人工智能芯片设计研究工程师
Research 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 AI 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设计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在一起，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
我们正在招聘一名研究工程师，帮助 OpenAI 模型通过强化学习、工具使用和评估解决芯片设计问题。
你将从最初的创意到实现和分析全程负责实验。这意味着构建环境和评估，运行训练，调查失败，并利用结果决定下一步尝试什么。你还将构建使这些实验可靠且可重复的软件。
我们重视扎实的编程基础、谨慎的实验判断力以及独立推进工作的能力。之前有芯片设计经验会有帮助，但你可以与团队的硬件专家一起学习这个领域。
在此职位中，你将：
- 为 RTL 生成、设计验证和物理设计优化等任务构建 RL 环境和评估。
- 开发和测试有助于模型使用芯片设计工具并在保持正确性的前提下提升功耗、性能和面积的方法。
- 设计实验，建立基线，并衡量改进是否适用于新任务和设计。
- 调查模型行为、奖励、评估工具和实验基础设施中的失败情况。
- 通过更好的工具、更快的评估和反映我们关心的结果的代理奖励来提高迭代速度。
- 与研究人员和工程师紧密合作，将成功的实验转化为可重用的研究代码和训练流程。
如果你具备以下条件，可能会在这个职位中表现出色：
- 具有强大的编程和调试技能，并有将技术想法转化为工作软件的记录。
- 具有强化学习、模型评估、后训练或其他应用 ML 研究的经验。
- 具有构建工具使用代理、奖励函数或自动化评估系统的经验。
- 能够形成清晰的假设，设计有用的实验，并区分有意义的结果与噪声或评估错误。
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 Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation.
You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible.
We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists.
IN THIS ROLE, YOU WILL:
- Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization.
- Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness.
- Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs.
- Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure.
- Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about.
- Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers.
YOU MIGHT THRIVE IN THIS ROLE IF YOU:
- Have strong programming and debugging skills and a track record of turning technical ideas into working software.
- Experience with reinforcement learning, model evaluations, post-training, or other applied ML research.
- Experience building tool-using agents, reward functions, or automated evaluation systems.
- Can form clear hypotheses, design useful experiments, and distinguish meaningful results from noise or evaluation errors.
- Work independently on ambiguous problems and make practical decisions about what to build or test next.
- Stay close to the implementation and can explain what you built, what failed, and what you learned.
- Communicate progress clearly and collaborate well with people across research, software, and hardware.
- Care about developing safe, beneficial AI.
NICE TO HAVE:
- Familiarity with experiment orchestration, distributed training, or research infrastructure.
- 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.
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