Software Engineer, Fleet Infrastructure
San Francisco / New York City · 全职 · 工程与基础设施
需要对标的能力
Agent 工程 · Harness / 脚手架AI Infra · 推理部署成本优化 · 性能调优
岗位职责与要求
This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment. Work on this team ranges from
- Maximizing GPUs doing useful work by building user-friendly scheduling and quota systems
- Running a reliable and low maintenance platform by building push-button automation for kubernetes cluster provisioning and upgrades
- Supporting research workflows with service frameworks and deployment systems
- Ensuring fast model startup times though high performance snapshot delivery across blob storage down to hardware caching
- Much more!
About the Role
As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's mission to advance AI capabilities responsibly.
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.
In this role, you will:
- Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems.
- Interface with researchers and product teams to understand workload requirements
- Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service
You might thrive in this role if you:
- Have experience with hyperscale compute systems
- Possess strong programming skills
- Have experience working in public clouds (especially Azure)
- Have experience working in Kubernetes
- Execution focused mentality paired with a rigorous focus on user requirements
- As a bonus, have an understanding of AI/ML workloads
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.
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.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
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.
查看中文参考译文
该岗位将支持 OpenAI 的 fleet infrastructure 团队。fleet 团队专注于运行全球最大、最可靠、最无摩擦的 GPU fleet,以支持 OpenAI 的通用模型训练和部署。该团队的工作范围包括:
- 通过构建用户友好的调度和配额系统,最大化 GPU 的有效利用率
- 通过构建一键式自动化实现 kubernetes 集群的 provisioning 和升级,打造可靠且低维护的平台
- 通过服务框架和部署系统支持研究工作流
- 通过从 blob storage 到硬件缓存的高性能 snapshot 交付,确保模型快速启动
- 还有更多!
About the Role
作为 Fleet infrastructure 的工程师,你将设计、编写、部署和运营基础设施系统,用于在全球最大的 GPU fleet 之一上进行模型部署和训练。规模巨大、时间紧迫、组织高速运转;这是一个塑造关键系统的机会,以支持 OpenAI 负责任地推进 AI 能力的使命。
该岗位位于 San Francisco, CA。我们采用每周 3 天到办公室的混合办公模式,并为新员工提供 relocation assistance。
在该岗位中,你将:
- 设计、实现和运营我们计算 fleet 的组件,包括 job scheduling、cluster management、snapshot delivery 和 CI/CD 系统
- 与研究人员和产品团队对接,了解工作负载需求
- 与硬件、基础设施和业务团队协作,提供高利用率和高可靠性的服务
如果你具备以下条件,你可能适合该岗位:
- 拥有 hyperscale compute 系统的经验
- 具备强大的编程技能
- 拥有在 public cloud 工作的经验(尤其是 Azure)
- 拥有在 Kubernetes 工作的经验
- 以执行为导向的思维方式,同时对用户需求保持严格关注
- 加分项:对 AI/ML 工作负载有理解
如需通知 OpenAI 你认为该职位发布不合规,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。
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.
译文仅供辅助阅读,具体要求以原始招聘来源为准。