AI基础设施工程师，pAGI
AI Infrastructure Engineer, pAGI
关于团队
pAGI Infra 团队构建并运营使大规模模型训练和评估变得可靠、高效且易于运行的系统。我们的工作涵盖分布式训练基础设施、推理和评分平台、计算调度以及研究工具。我们与研究人员和工程团队紧密合作，将新的研究需求转化为可靠的基础设施，提升 GPU 效率，并缩短从实验到验证模型的路径。
关于职位
我们正在寻找一位 AI 系统工程师，帮助扩展我们训练和评估工作流背后的基础设施。你将负责从识别瓶颈、设计解决方案到部署和运维的整个项目流程。这项工作结合了分布式系统工程、性能优化以及与研究人员的密切合作。你可能会构建一个共享的评分服务，改进跨工作负载的资源分配，或把一个新的训练栈投入生产——直接提升研究进展的速度和可靠性。
在该职位中，你将：
- 构建和运维大规模训练和评估的基础设施，提高可靠性、吞吐量和资源效率。
- 开发具有自动容量管理、健康监控和性能可视化的共享推理和评分平台。
- 改进计算调度和资源分配，减少 GPU 空闲时间，并帮助工作负载快速从故障中恢复。
- 诊断训练、推理和编排中的瓶颈，并跨团队协作以提升端到端性能。
- 构建自助工具、自动化验证和可观测性功能，帮助研究人员启动实验、诊断问题并比较结果，减少人工干预。
如果你具备以下条件，可能会在这个职位上表现出色：
- 对个人 AGI 的潜力充满热情，并希望构建支持它的基础设施。
- 具备扎实的软件工程基础，有构建或运维大规模分布式系统的经验。
- 有 ML 基础设施、推理系统、GPU 性能或基础设施工具的经验。
- 高度自我驱动，能够承担开放性问题的责任。
- 喜欢跨系统边界调试，并利用测量数据来指导性能和可靠性的改进。
关于 OpenAI
OpenAI 是一家人工智能研究和部署公司，致力于确保通用人工智能的有益发展。
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About the Team
pAGI Infra team builds and operates the systems that make large-scale model training and evaluation reliable, efficient, and easy to run. Our work spans distributed training infrastructure, inference and grading platforms, compute scheduling, and research tooling. We partner closely with researchers and engineering teams to turn new research needs into dependable infrastructure, improve GPU efficiency, and shorten the path from an experiment to a validated model.
About the Role
We’re looking for an AI Systems Engineer to help scale the infrastructure behind our training and evaluation workflows. You’ll own projects from identifying bottlenecks and designing solutions through deployment and operation. The work combines distributed systems engineering, performance optimization, and close collaboration with researchers. You might build a shared grading service, improve resource allocation across workloads, or bring a new training stack into production — directly improving how quickly and reliably research moves forward.
In this role, you will:
- Build and operate infrastructure for large-scale training and evaluation, improving reliability, throughput, and resource efficiency.
- Develop shared inference and grading platforms with automated capacity management, health monitoring, and visibility into performance.
- Improve compute scheduling and resource allocation to reduce idle GPU time and help workloads recover quickly from failures.
- Diagnose bottlenecks across training, inference, and orchestration, and work across teams to improve end-to-end performance.
- Build self-service tools, automated validation, and observability that help researchers launch experiments, diagnose issues, and compare results with less manual intervention.
You might thrive in this role if you:
- Are excited about the potential of personal AGI and want to build the infrastructure that enables it.
- Have strong software engineering fundamentals and experience building or operating large-scale distributed systems.
- Have experience in ML infrastructure, inference systems, GPU performance, or infrastructure tooling.
- Are highly self-motivated and comfortable taking ownership of open-ended problems.
- Enjoy debugging across system boundaries and using measurements to guide improvements in performance and reliability.
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.