推理工程师，机器人
Inference Engineer, Robotics
关于团队
我们的机器人团队专注于解锁通用机器人技术，并在动态、现实的环境中推动达到AGI级别的人工智能。我们跨整个模型栈工作，整合最前沿的软硬件，探索各种机器人形态。我们努力将高级人工智能能力与物理系统的限制无缝结合，以改善人们的生活。
关于职位
我们正在寻找一名GPU推理工程师，为我们的机器人研究中的模型服务效率提升做出贡献。这是一个影响深远的职位，你将推动优化推理性能和可扩展性的项目。你还将参与模型设计，帮助我们的研究人员开发适合推理的模型。
这个职位对团队更广泛的目标至关重要——通过构建更强大的技术基础，使领导层能够专注于更高杠杆率的项目。
在这个职位中，你将：
- 从事提升模型服务、推理性能和系统效率的工程工作
- 从内核和数据移动的角度驱动优化，以提高系统吞吐量和可靠性
- 与研究和产品团队紧密合作，确保我们的模型在大规模下有效运行
- 设计、构建和改进关键的服务基础设施，以支持机器人业务的增长和可靠性需求
如果你具备以下条件，可能会在这个职位中表现出色：
- 在模型性能优化方面有深厚的专业知识，尤其是在推理层
- 在内核级系统、数据移动和底层性能调优方面有扎实的背景
- 对于可以处理真实世界、多模态工作负载的高性能AI系统充满热情
- 能够应对不确定性，设定技术方向，并推动复杂项目完成
该职位位于加利福尼亚州旧金山。我们采用每周3天在办公室的混合办公模式，并为新员工提供搬迁协助。
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About the Team
Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.
About the Role
We’re looking for a GPU Inference Engineer to contribute to improvements in model serving efficiency for our Robotics research. This is a high-impact role where you’ll drive initiatives to optimize inference performance and scalability. You’ll also be engaged in model design, to help assist our researchers in developing inference-friendly models.
This role is critical to scaling the team’s broader goals - it will directly enable leadership to focus on higher-leverage initiatives by building a stronger technical foundation.
In this role you will:
- Perform engineering efforts focused on improving model serving, inference performance, and system efficiency
- Drive optimizations from a kernel and data movement perspective to improve system throughput and reliability
- Partner closely with research and product teams to ensure our models perform effectively at scale
- Design, build, and improve critical serving infrastructure to support Robotics growth and reliability needs
You might thrive in this role if you:
- Have deep expertise in model performance optimization, particularly at the inference layer
- Have a strong background in kernel-level systems, data movement, and low-level performance tuning
- Are excited about scaling high-performing AI systems that serve real-world, multimodal workloads
- Can navigate ambiguity, set technical direction, and drive complex initiatives to completion
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 to new employees.
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.