模型部署工程师（ChatGPT工程）
Software Engineer, Model Deployment- ChatGPT Engineering
关于团队
ChatGPT 依赖于一个不断扩展的 GPU 集群，以可靠且高效地处理推理工作负载。我们开发系统和工具，使引入新模型、管理生产部署、响应运营问题以及在大规模下有效使用基础设施成为可能。
我们的工作涵盖分布式系统、平台工程、基础设施自动化和开发者体验。我们与研究、基础设施和产品团队紧密合作，使模型部署更加可靠、高效且易于管理。
关于职位
我们正在寻找一位有构建或运维大规模生产系统的经验的软件工程师。
您将设计和开发支持生产环境中模型生命周期的系统，包括部署编排、配置管理、操作自动化、可靠性及容量管理。您将帮助将复杂的操作流程转化为可扩展的平台功能，使 OpenAI 各个团队能够更自信地部署和管理模型，减少人工操作。
此职位适合喜欢解决复杂操作问题并构建使大规模生产基础设施更容易运行的软件的工程师。
在此职位中，您将：
- 构建和演进用于在 ChatGPT 中部署、配置和管理模型的平台。
- 开发用于部署编排、模型发布、操作可见性和生产就绪的系统。
- 创建抽象和工具，简化复杂的基础设施并提升开发者体验。
- 自动化操作工作流，包括事件检测、诊断、缓解和恢复。
- 提高模型部署和其支撑基础设施的可靠性、可扩展性和效率。
- 构建支持容量规划、资源分配和基础设施利用率的系统。
- 与研究、基础设施和产品工程团队合作，识别共同挑战并交付可重用的平台能力。
- 随着 ChatGPT 及其底层系统的持续演进，塑造模型管理平台的技术方向。
如果您具备以下条件，可能会在此职位中表现出色：
- 有构建或运维内部平台、分布式系统或大规模生产基础设施的经验。
- 喜欢将复杂的操作问题转化为可靠的软件和可重用的抽象。
- 有部署系统方面的经验
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ABOUT THE TEAM
ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. We develop the systems and tools that make it possible to introduce new models, manage production deployments, respond to operational issues, and use infrastructure effectively at scale.
Our work spans distributed systems, platform engineering, infrastructure automation, and developer experience. We partner closely with research, infrastructure, and product teams to make model deployment more reliable, more efficient, and easier to manage.
ABOUT THE ROLE
We are looking for a software engineer with experience building or operating large-scale production systems.
You will design and develop systems that support the model lifecycle in production, including deployment orchestration, configuration management, operational automation, reliability, and capacity management. You will help transform complex operational processes into scalable platform capabilities that enable teams across OpenAI to deploy and manage models with greater confidence and less manual effort.
This role is a good fit for engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale.
IN THIS ROLE, YOU WILL
- Build and evolve the platform used to deploy, configure, and manage models across ChatGPT.
- Develop systems for deployment orchestration, model rollouts, operational visibility, and production readiness.
- Create abstractions and tooling that simplify complex infrastructure and improve the developer experience.
- Automate operational workflows, including incident detection, diagnosis, mitigation, and recovery.
- Improve the reliability, scalability, and efficiency of model deployments and the infrastructure that supports them.
- Build systems that support capacity planning, resource allocation, and infrastructure utilization.
- Partner with research, infrastructure, and product engineering teams to identify common challenges and deliver reusable platform capabilities.
- Shape the technical direction of the model management platform as ChatGPT and its underlying systems continue to evolve.
YOU MIGHT THRIVE IN THIS ROLE IF YOU
- Have built or operated internal platforms, distributed systems, or large-scale production infrastructure.
- Enjoy turning complex operational problems into reliable software and reusable abstractions.
- Have experience with deployment systems, orchestration, configuration management, or infrastructure automation.
- Understand production reliability, observability, capacity planning, and incident response.
- Care about developer experience and building tools that make other engineering teams more effective.
- Are comfortable working across organizational boundaries and taking ownership from system design through production operation.
- Thrive in fast-moving environments with significant technical ambiguity.
- Are interested in model-serving or ML infrastructure, but do not need specialized experience with GPUs or low-level hardware.
QUALIFICATIONS
- Five or more years of software engineering experience building production infrastructure.
- Strong programming skills in Go, Python, C++, Rust, or a comparable language.
- Experience designing or operating highly available distributed systems.
- Experience with platform engineering, infrastructure engineering, production engineering, site reliability engineering, or similar disciplines.
- Strong systems design, debugging, and operational problem-solving skills.
- Strong communication skills and experience collaborating across engineering teams.
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.