Software Engineer, Compute - Storage
New York City、San Francisco · 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AI 工程设计模式
岗位职责与要求
ABOUT THE TEAM
The Storage Infrastructure team builds and operates the storage foundation behind OpenAI’s most demanding workloads. We work directly with research to design storage systems for rapidly evolving experiments, while also powering production at scale. We own the platform end to end: backend systems, user-facing services and APIs, and the control planes that manage how data is placed, moved, and retained over time.
Our stack spans cloud and in-house object stores across very different workload profiles, from GPU-attached systems to dedicated storage hardware. We also build the federation layer that unifies these backends behind a simple interface and routes each workload to the right storage solution.
ABOUT THE ROLE
You will help build the storage platform that powers OpenAI’s research and production systems. This is a hands-on infrastructure role for engineers who want to work on deeply technical systems at scale and own them in production.
You’ll work across object storage, cross-region data movement, lifecycle management, and the federation layer that provides a unified interface across multiple backends. Much of our stack runs on Kubernetes, and we primarily build services in Rust.
In this role, you will:
- Build and operate storage services that underpin OpenAI’s research infrastructure
- Develop object storage systems across cloud and in-house environments
- Build systems for cross-region data movement, replication, and recovery
- Design lifecycle management capabilities that keep data durable, available, and cost-effective
- Evolve the federation layer that unifies multiple backend systems behind a simple interface
- Improve performance, reliability, and operational excellence across the platform
- Collaborate closely with researchers and infrastructure teams to support rapidly evolving workloads
You might thrive in this role if you:
- Have experience building or operating distributed systems in production
- Have worked on storage infrastructure, object stores, distributed filesystems, or other data-intensive backend systems
- Enjoy owning infrastructure end to end, including debugging and long-term reliability improvements
- Write strong production code, ideally in Rust or another systems-oriented language
- Are comfortable working with Kubernetes-based systems
- Have experience with tools such as Terraform, Grafana, or similar infrastructure and observability tooling
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
Storage Infrastructure 团队负责构建并运维支撑 OpenAI 最苛刻工作负载的存储基础。我们与 research 直接合作,为快速演进的实验设计存储系统,同时大规模支撑 production。我们端到端地拥有这一平台:backend systems、面向用户的服务和 API,以及管理数据如何随时间放置、移动和保留的 control planes。
我们的技术栈跨越云和内部 object stores,覆盖截然不同的工作负载场景,从 GPU-attached systems 到专用存储硬件。我们还构建了 federation layer,在简单接口后统一这些 backend,并将每个工作负载路由到合适的存储方案。
关于职位
你将帮助构建支撑 OpenAI research 和 production systems 的存储平台。这是一个面向希望在大规模深度技术系统上工作并在 production 中拥有这些系统的工程师的实操型基础设施岗位。
你将跨 object storage、跨区域数据移动、lifecycle management 以及在多个 backend 后提供统一接口的 federation layer 展开工作。我们的技术栈大部分运行在 Kubernetes 上,我们主要使用 Rust 构建服务。
在这个职位中,你将:
- 构建并运维支撑 OpenAI research infrastructure 的存储服务
- 在云端和内部环境中开发 object storage systems
- 构建跨区域数据移动、replication 和 recovery 的系统
- 设计 lifecycle management 能力,确保数据持久、可用且成本优化
- 演进 federation layer,在简单接口后统一多个 backend systems
- 提升整个平台的性能、可靠性和运维卓越性
- 与 researchers 和 infrastructure teams 紧密协作,支持快速演进的工作负载
如果你符合以下条件,你可能适合这个职位:
- 有在 production 中构建或运维 distributed systems 的经验
- 从事过 storage infrastructure、object stores、distributed filesystems 或其他数据密集型 backend systems
- 喜欢端到端地拥有基础设施,包括调试和长期可靠性改进
- 能写出扎实的 production code,最好使用 Rust 或其他面向系统的语言
- 熟悉基于 Kubernetes 的系统
- 有使用 Terraform、Grafana 或类似基础设施和可观测性工具的经验
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。
在 OpenAI,我们相信人工智能有潜力帮助人们解决巨大的全球性挑战,我们希望 AI 的益处能够被广泛分享。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。