软件工程师，API多云
Software Engineer, API Multicloud
关于团队
OpenAI 的 API 多云团队负责将 OpenAI 的 API 平台扩展到战略云环境，首先从 AWS 开始 https://openai.com/index/openai-on-aws/。该团队的使命是通过在云原生环境中启用关键 API 技术，与 Amazon 及内部的 Codex、Research、Safety Systems 和 Applied 团队紧密合作，广泛且安全地分发 OpenAI 的 API。
该团队专注于将核心开发者和企业功能带入云原生环境，包括云托管的 Codex、模型定制/后训练作为服务，以及用于代理工作负载的新有状态运行时环境。这项工作位于生产 ML 系统、开发者平台、模型行为和大规模基础设施的交汇点。
关于职位
我们正在寻找一名后端工程师，能够快速理解 OpenAI 的模型、产品和系统，然后为其他云平台适配第一方部署。你将构建后端服务、API、SDK 集成、认证流程和云服务基础设施，让开发者能够在他们已有的云环境中使用 OpenAI 的能力。该职位需要跨团队协作，有时会嵌入合作伙伴产品组，以快速且同时在多个平台上交付产品。适合曾构建开发者工具（尤其是 AI 驱动的工具）、能清晰跨技术边界沟通，并能设计支持不同部署模式架构的工程师；具备构建云服务的经验是加分项。
在该职位中，你将：
- 构建后端和基础设施系统，将 OpenAI 的 API 平台扩展到云原生环境，如 AWS。
- 设计并交付云内产品，使客户能够在云环境中使用 OpenAI 能力，同时保持工作负载和数据在云环境中。
- 协助搭建由 OpenAI 响应 API 驱动的云托管 Codex 体验。
- 构建有状态、云优化的代理平台的基础设施和运行时抽象。
- 与外部云合作伙伴以及内部的 Codex、Research 和 Safety Systems 团队紧密合作，将新兴能力转化为生产就绪的系统。
- 提升支撑这些产品的服务的可靠性、可扩展性、可观测性和运营成熟度。
- 在团队不断增长和发展的过程中，帮助塑造技术方向。
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About the Team
OpenAI’s API Multicloud team is responsible for extending OpenAI’s API platform into strategic cloud environments, starting with AWS https://openai.com/index/openai-on-aws/. The team’s mission is to distribute OpenAI’s API broadly and safely by enabling key API technologies in cloud-native environments, in close partnership with Amazon and internal teams across Codex, Research, Safety Systems, and Applied.
The team is focused on bringing core developer and enterprise capabilities into cloud-native environments, including cloud-hosted Codex, model customization / post-training as a service, and new stateful runtime environments for agentic workloads. This work sits at the intersection of production ML systems, developer platforms, model behavior, and large-scale infrastructure.
About the Role
We’re looking for a backend engineer who can quickly understand OpenAI’s models, products, and systems, then adapt first-party deployments for other cloud platforms. You’ll build backend services, APIs, SDK integrations, authentication flows, and cloud service infrastructure that let developers use OpenAI capabilities in the cloud environments where they already build. This role involves working across teams, sometimes embedded with partner product groups, to ship products quickly and across multiple platforms at the same time. It’s a strong fit for engineers who have built developer tools, especially AI-powered tools, communicate clearly across technical boundaries, and can shape architectures that support different deployment models; experience building cloud services is a strong plus.
In this role, you will:
- Build backend and infrastructure systems that extend OpenAI’s API platform into cloud-native environments, like AWS.
- Design and ship cloud-contained products that allow customers to use OpenAI capabilities while keeping workloads and data within cloud environments.
- Help stand up cloud-hosted Codex experiences powered by the OpenAI Responses API.
- Build the infrastructure and runtime abstractions for a stateful, cloud-optimized agentic platform.
- Partner closely with external cloud partners as well as internal teams across Codex, Research, and Safety Systems to translate emerging capabilities into production-ready systems.
- Improve the reliability, scalability, observability, and operational maturity of the services underpinning these products.
- Help shape the technical direction of a new and growing team as it scales from an early core group into a larger engineering organization.
Your background might look something like:
- 7+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies.
- Proficient in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts.
- Experience building developer tools, especially AI-powered tools, excellent technical communication, and the ability to shape architectures that support different deployment models. Experience building cloud services is a strong plus.
- Experience turning ambiguous, fast-moving technical problems into pragmatic, durable systems.
- Experience working with cloud infrastructure primitives and production service ownership.
- Experience collaborating cross-functionally with platform, research, safety, or external partner teams is a plus.
- Interest in AI infrastructure, agentic systems, and developer platforms.
- Interest in AI/ML (direct experience not required)
- Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.
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.