Software Engineer, Agent Infrastructure
New York City、San Francisco · 全职 · 工程与基础设施
需要对标的能力
Agent · 智能体设计工具调用 · Function CallingAI Infra · 推理部署AI 工程设计模式
岗位职责与要求
About the Team
The Agent Infrastructure team at OpenAI is responsible for building systems that enable training and deployment of highly useful AI agents, both internally and for the world.
We work hand-in-hand with researchers to design and scale the environment in which agentic models are trained – providing a workspace for AI models to execute code, debug issues, and develop software just as human SWEs do. Our training environment for agentic models operates at an extremely high scale and has the flexibility to emulate any environment in which an agent might work.
At the same time, our team builds and maintains OpenAI’s core platform for the deployment and execution of agents in production. Our systems power products such as Codex, Operator, tool use in ChatGPT, and future agentic products.
Some of the most challenging technical problems in scaling the capabilities and utility of agents and agentic models lie in the infrastructure layer – and our team is focused on building the research and production systems that enable OpenAI to train the most capable models in the world, and maximize the utility of our agentic products for users around the world.
About the Role
As a Software Engineer on the Agent Infrastructure team, you will have the opportunity to work closely with both research and product at OpenAI - building and scaling systems to train highly capable agentic models, and building the platform and integrations to launch new agents to hundreds of millions of users worldwide.
Your work will consist of both building new capabilities - standing up the infrastructure and integrations needed to train more complex agentic models - and rapidly scaling these new capabilities to some of the largest compute clusters in the world. At the same time, you’ll be instrumental to the launch of agentic products at OpenAI - building, maintaining, and scaling the production platform on which all agents run.
We’re looking for people with deep experience building AI infrastructure and who are used to working closely with researchers to build high-performance systems at massive scale for novel use cases.
This role is based in San Francisco, CA or New York City, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
- Push massive compute clusters to their limits. You will be a core contributor to a novel container orchestration platform built in-house by our team to scale far beyond what’s possible with systems like Kubernetes.
- Develop and maintain FastAPI and gRPC APIs that serve as the interface for our agentic infrastructure used both in training and production.
- Use Terraform to stand up and evolve complex infrastructure for both research and production.
- Collaborate with research teams to stand up and optimize systems for novel AI training runs and experimental applications.
You might thrive in this role if you:
- Have deep experience working on large-scale machine learning infrastructure. You know how to reason about training at scale, identifying bottlenecks and engineering solutions to optimize system performance in training environments.
- Know how to build new things from 0-1 quickly, and then scale them 1,000,000x.
- Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.
- Know your way around cloud platforms and work with infrastructure-as-code tech like Terraform.
- Are driven by solving complex, ambiguous problems at the intersection of infrastructure scalability, virtualization efficiency, and agentic capabilities.
- Have deep technical expertise in virtualization and containerization technologies (e.g. Kata, Firecracker, gVisor, Sysbox) and are passionate about optimizing runtime performance.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.
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.
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关于团队
OpenAI 的 Agent Infrastructure 团队负责构建能够支持训练和部署高实用性 AI agent 的系统,既服务于内部,也面向全球。
我们与研究人员紧密合作,设计和扩展 agentic models 的训练环境——为 AI models 提供一个工作空间,使其能够像人类软件工程师一样执行代码、调试问题和开发软件。我们的 agentic models 训练环境规模极大,并具有灵活性,可以模拟 agent 可能工作的任何环境。
同时,我们的团队构建并维护 OpenAI 用于在生产环境中部署和执行 agent 的核心平台。我们的系统为 Codex、Operator、ChatGPT 中的 tool use 以及未来的 agentic products 提供支持。
在扩展 agent 和 agentic models 能力与实用性的过程中,一些最具挑战性的技术问题存在于基础设施层——我们的团队专注于构建研究和生产系统,使 OpenAI 能够训练世界上最强大的 models,并最大化我们 agentic products 对全球用户的实用价值。
关于职位
作为 Agent Infrastructure 团队的 Software Engineer,你将有机会与 OpenAI 的研究和产品团队紧密合作——构建和扩展用于训练高能力 agentic models 的系统,以及构建平台和集成,将新的 agents 推向全球数亿用户。
你的工作将包括构建新能力——搭建训练和部署更复杂 agentic models 所需的基础设施和集成——并将这些新能力快速扩展到世界上最大的 compute clusters 之一。同时,你将在 OpenAI 的 agentic products 发布中发挥关键作用——构建、维护和扩展所有 agent 运行的生产平台。
我们正在寻找在构建 AI infrastructure 方面拥有深厚经验、习惯于与研究人员紧密合作、为 novel use cases 大规模构建高性能系统的人才。
该职位位于 San Francisco, CA 或 New York City, NY。我们采用每周 3 天办公的混合工作模式,并为新员工提供 relocation assistance。
在此职位中,你将:
- 将大规模 compute clusters 推向极限。你将成为我们团队内部构建的 novel container orchestration platform 的核心贡献者,该平台将扩展至远超 Kubernetes 等系统所能实现的规模。
- 开发和维护 FastAPI 和 gRPC APIs,作为我们训练和生产中 agentic infrastructure 的接口。
- 使用 Terraform 为研究和生产搭建和演进复杂的 infrastructure。
- 与研究团队合作,为 novel AI training runs 和 experimental applications 搭建和优化系统。
如果你具备以下条件,你可能适合此职位:
- 拥有大规模 machine learning infrastructure 的深厚工作经验。你知道如何推理大规模 training,识别瓶颈并设计解决方案以优化 training environments 中的系统性能。
- 知道如何快速将新事物从 0 构建到 1,然后将其扩展 1,000,000 倍。
- 对性能和优化有敏锐的洞察力。你知道如何从复杂的全球分布式系统中榨取最大性能。
- 熟悉 cloud platforms,并能使用 Terraform 等 infrastructure-as-code 技术。
- 热衷于解决基础设施可扩展性、virtualization 效率和 agentic capabilities 交叉领域的复杂、模糊问题。
- 在 virtualization 和 containerization 技术(如 Kata、Firecracker、gVisor、Sysbox)方面拥有深厚的技术专长,并对优化 runtime performance 充满热情。
如需通知 OpenAI 你认为此职位发布不合规,请通过此表单提交报告 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA。与职位发布合规性无关的询问将不予回复。
在 OpenAI,我们相信人工智能有潜力帮助人们解决巨大的全球挑战,我们希望 AI 的积极影响能够被广泛分享。加入我们,共同塑造技术的未来。
译文仅供辅助阅读,具体要求以原始招聘来源为准。