岗位能力对标
OpenAI

Software Engineer, Reliability

San Francisco · 全职 · 工程与基础设施

岗位更新:2025-10-17资料抓取:2026-08-04查看原始招聘来源

需要对标的能力

Agent 工程 · Harness / 脚手架AI Infra · 推理部署AI 产品设计 · 产品化AI 工程设计模式

岗位职责与要求

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: - Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. - Build and maintain the load, chaos and synthetic testing software leveraged by development teams to make the systems they design and operate more reliable. - Build and maintain automation tools to streamline repetitive tasks and improve system reliability. - Build and maintain the platform for CPU/storage, GPU, and network lifecycle management to drive efficiency, accountability and support dynamic optimization of our resources. - Implement fault-tolerant and resilient design patterns to minimize service disruptions. - Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability. - Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world. - Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability. You might thrive in this role if you: - Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. - Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems. - Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management. - Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services. Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). - Proven experience as an SWE focused on reliability or a similar role in a fast-paced, rapidly scaling company. - Strong proficiency in cloud infrastructure. - Proficiency in programming languages. - Experience with containerization technologies and container orchestration platforms like Kubernetes. - Knowledge of IaC tools such as Terraform or CloudFormation. - Excellent problem-solving and troubleshooting skills. - Strong communication and collaboration skills. - Experience with observability tools such as DataDog, Prometheus, Grafana and Splunk. - Experience with microservices architecture and service mesh technologies. - Knowledge of security best practices in cloud environments. This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. 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.
查看中文参考译文
加入将 OpenAI 的理念安全地带到世界的工程团队! Applied Engineering 团队横跨 research、engineering、product 和 design,将 OpenAI 的技术带给消费者和企业。我们致力于从部署中学习并分发 AI 的益处,同时确保这一强大工具被负责任且安全地使用。对我们来说,安全比无节制的增长更重要。 About the Role 随着 OpenAI 持续增长,我们正在寻找经验丰富、善于解决问题的工程师,以确保我们的系统能够 scale。我们的成功取决于我们快速迭代产品的能力,同时确保它们具备高性能和高可靠性。你将在一个深度迭代、协作、快节奏的环境中工作,将我们的技术带给全球数百万用户,并确保以安全和可靠性为前提进行交付。成功的候选人将在我们持续扩张的过程中,为确保系统的可靠性、scalability 和 performance 发挥关键作用。作为可靠性专家,你将处于维护和增强我们快速演进的 infrastructure 的 stability、scalability 和 performance 的最前沿。你将与 cross-functional teams 紧密合作,包括 software engineers、product managers 和 data scientists,构建和维护能够应对不断增长的用户基数和工作负载的 resilient systems。 In this role, you will: - 设计并实施解决方案,确保我们的 infrastructure 具备 scalability,以满足快速增长的需求。 - 构建并维护 load、chaos 和 synthetic testing software,供 development teams 使用,以提升他们设计和运营的系统的可靠性。 - 构建并维护 automation tools,以简化重复性任务并提升 system reliability。 - 构建并维护 CPU/storage、GPU 和 network lifecycle management 平台,以提高效率、问责制,并支持我们资源的 dynamic optimization。 - 实施 fault-tolerant 和 resilient design patterns,以最小化 service disruptions。 - 制定并维护 service level objectives (SLOs) 和 service level indicators (SLIs),以衡量并确保 system reliability。 - 与 researchers、engineers、product managers 和 designers 合作,将新特性和 research capabilities 带给世界。 - 参与 on-call rotation,以响应 critical incidents 并确保 24/7 system availability。 You might thrive in this role if you: - 有通过为 fellow engineers 提供优秀的 tooling 和 systems 来加速 engineering reliability 的 track record。 - 拥有谦逊的态度,乐于帮助同事,并愿意尽一切努力使团队成功。 - 端到端地 own problems,并愿意学习任何缺失的知识来完成工作。 - 乐于寻找并解决我们系统中的 bottlenecks 和 performance improvement 领域。 - 运用 Infrastructure as Code (IaC) 原则来自动化 infrastructure provisioning 和 configuration management。 - 有与 cross-functional teams 协作的经验,确保在 new features 和 services 的设计和开发中考虑到 reliability 和 scalability。 Qualifications: - Computer Science、Information Technology 或相关领域的 Bachelor's degree(或同等工作经验)。 - 有作为专注于 reliability 的 SWE 或类似角色在快节奏、快速 scaling 公司中的 proven experience。 - 对 cloud infrastructure 有 strong proficiency。 - 对 programming languages 有 proficiency。 - 有 containerization technologies 和 container orchestration platforms 如 Kubernetes 的经验。 - 有 Terraform 或 CloudFormation 等 IaC tools 的知识。 - 出色的 problem-solving 和 troubleshooting skills。 - 出色的 communication 和 collaboration skills。 - 有 DataDog、Prometheus、Grafana 和 Splunk 等 observability tools 的经验。 - 有 microservices architecture 和 service mesh technologies 的经验。 - 有 cloud environments 中 security best practices 的知识。 This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees. 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.

译文仅供辅助阅读,具体要求以原始招聘来源为准。