软件工程师，内核性能与AI工具
Software Engineer, Kernel Performance & AI Tooling
关于团队
OpenAI 的硬件部门开发适用于先进 AI 工作负载独特需求的原生 AI 芯片和系统级解决方案。在 Jalapeño 等工作的基础上，该团队正在开发下一代原生 AI 芯片和高度集成的系统，以支持前沿模型的下一次迭代。通过芯片、系统、工具和方法的协同设计，该团队帮助为 OpenAI 的超算平台交付更快、更高效且可投入生产的硬件。
关于职位
我们正在寻找一位系统思维的工程师，帮助推进我们的内核开发、性能工程和软硬件协同设计能力，特别关注 AI 辅助的工作流程和工具。该职位将处于内核优化、开发者工具、可观测性和研究基础设施的交汇点，帮助我们提升生产内核的构建和优化方式，以及未来软硬件系统的设 计和评估方式。这个职位适合对底层性能工作充满热情的人，同时也看到 AI 和自动化是加速工程效率的强大工具。你将帮助定义 AI 辅助开发时代内核工程的未来。
在这个职位上，你可能会：
- 构建开发者工具和工作流，使内核开发和性能优化更快、更可扩展，并更容易调试、集成和部署。
- 开发可观测性、诊断和验证基础设施，使 AI 辅助优化系统更具可解释性、可靠性和有效性。
- 通过提出优化问题、运行搜索循环、分析瓶颈、调试生成的实现并将改进成果部署到生产环境，对生产内核进行端到端优化。
- 设计抽象、接口和自动化系统，加速内核优化、正确性验证和软硬件协同设计。
- 通过更好的数据集、评估、基准测试和研究基础设施，提升特定任务的 AI 辅助优化系统。
- 与研究和工程团队合作，将新想法转化为涵盖生产需求和长期基础设施战略的实际系统。
如果你具备以下条件，可能会在这个职位上表现出色：
- 强大的系统或工具工程经验，有底层软件、性能优化或基础设施背景。
- 有开发者工具的经验，
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About the Team
OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform.
About the Role
We are looking for a systems-minded engineer to help advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a particular focus on AI-assisted workflows and tooling. This person will work at the intersection of kernel optimization, developer tooling, observability, and research infrastructure, helping us improve both how production kernels are built and optimized, and how future hardware-software systems are designed and evaluated. The role is ideal for someone who is excited by low-level performance work, but also sees AI and automation as powerful tools for accelerating engineering velocity. You will help define the future of kernel engineering in the era of AI-assisted development.
In this role, you may:
- Build developer tooling and workflows that make kernel development and performance optimization faster, more scalable, and easier to debug, integrate, and deploy.
- Develop observability, diagnostics, and validation infrastructure that makes AI-assisted optimization systems more interpretable, reliable, and effective.
- Optimize production kernels end to end by formulating optimization problems, running search loops, analyzing bottlenecks, debugging generated implementations, and landing improvements into production.
- Design abstractions, interfaces, and automation systems that accelerate kernel optimization, correctness validation, and hardware-software co-design.
- Improve AI-assisted optimization systems for specialized tasks through better datasets, evaluations, benchmarking, and research infrastructure.
- Partner across research and engineering teams to turn new ideas into practical systems spanning production needs and long-term infrastructure strategy.
You might thrive in this role if you have:
- Strong systems or tooling engineering experience, with a background in low-level software, performance optimization, or infrastructure.
- Experience with developer tooling, debugging infrastructure, profiling, observability, or workflow design for technical users.
- Depth in kernel development, accelerator architecture, compiler systems, or related performance-critical domains.
- Familiarity with AI-assisted systems, agentic workflows, post-training, or reinforcement learning for engineering or research applications.
- Strong experimental judgment, comfort with ambiguity, and the ability to move fluidly between research exploration and production execution.
- Interest in compilers, DSLs, program synthesis, or AI for systems.
Preferred profile
The ideal candidate is a strong systems and tooling engineer with real depth in kernels and accelerators. They are comfortable working across software and hardware boundaries, can reason deeply about performance, abstractions, and system design, and have hands-on experience optimizing code for GPUs, high-performance CPUs, or custom accelerators. They view AI not as the end product, but as a force multiplier for engineering productivity and system optimization.
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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OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf
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.