系统专家 - GPT基础设施
Systems Generalist, GPT Infrastructure
关于OpenAI
OpenAI致力于确保人工智能通用性（AGI）造福全人类。我们的使命不仅需要构建世界级的AI模型，还需要构建使这些模型能够可靠、高效且在全球范围内部署的基础架构。随着对AI的需求持续增长，我们正在扩展OpenAI在多样化硬件生态系统中在线提供高性能推理能力的方式。
关于团队
GPT基础架构团队构建将先进的推理和优化研究转化为生产产品的软件。一个重点是使战略基础架构合作伙伴和加速器供应商能够在不为每个硬件平台进行定制移植和优化的情况下，验证并接入新的计算资源。
我们构建控制平面、API、安全的合作伙伴端执行环境、评估系统、制品流水线和运维工具，使这些工作流程可重复且值得信赖。这项工作位于分布式系统、AI推理、编译器和运行时、性能工程、安全性和外部合作的交汇点。
关于职位
我们正在寻找一位经验丰富的系统通才，能够轻松地在各个层级上工作，以帮助构建自动化推理优化平台。给定工作负载、目标硬件配置、编译器和运行时上下文以及可信验证器，该系统会运行持久的优化活动，生成、编译、执行、评估并改进候选内核、运行时配置和服务堆栈更改。
你将设计OpenAI托管的控制平面以及合作伙伴端的软件，用于在真实的加速器硬件上评估候选方案。该产品必须保持长时间运行的工作流可靠，使性能结果可复现，并在敏感模型和硬件信息周围维护清晰的信任边界。
这是一个深度跨栈的角色，结合了扎实的软件工程基础与系统思维和性能直觉。你将与研究、推理工程、基础架构、安全、产品和战略合作伙伴紧密合作，将强大的研究工作流程转化为可扩展的产品。
主要职责
- 设计、构建和运营用于数小时或数天优化活动的持久API和控制平面服务，包括调度、重试、预算、检查点、制品谱系和可观测性。
- 构建安全的合作伙伴端运行器和评分软件
查看英文原文
About OpenAI
OpenAI is dedicated to ensuring that artificial general intelligence (AGI) benefits all of humanity. Our mission requires building not only world-class AI models, but also the infrastructure that enables those models to be deployed reliably, efficiently, and at global scale. As demand for AI continues to grow, we are expanding the ways OpenAI can bring high-performance inference capacity online across a diverse hardware ecosystem.
About the Team
The GPT Infrastructure team builds software that turns advanced inference and optimization research into production products. One focus is enabling strategic infrastructure partners and accelerator vendors to qualify and onboard new compute without a bespoke porting and optimization effort for every hardware platform.
We build the control planes, APIs, secure partner-side execution environments, evaluation systems, artifact pipelines, and operational tooling that make these workflows repeatable and trustworthy. The work sits at the intersection of distributed systems, AI inference, compilers and runtimes, performance engineering, security, and external partnerships.
About the Role
We are seeking an experienced systems generalist who can work comfortably across the stack to help build an automated inference optimization platform. Given a workload, target hardware profile, compiler and runtime context, and a trusted verifier, the system runs durable optimization campaigns that generate, compile, execute, grade, and improve candidate kernels, runtime configurations, and serving-stack changes.
You will design both the OpenAI-hosted control plane and the partner-side software that evaluates candidates on real accelerator hardware. The product must keep long-running workflows reliable, make performance results reproducible, and maintain clear trust boundaries around sensitive model and hardware information.
This is a deeply cross-stack role, combining strong software engineering fundamentals with systems thinking and performance intuition. You will work closely with research, inference engineering, infrastructure, security, product, and strategic partners to turn a powerful research workflow into a scalable product.
Key Responsibilities
- Design, build, and operate durable APIs and control-plane services for multi-hour or multi-day optimization campaigns, including scheduling, retries, budgets, checkpoints, artifact lineage, and observability.
- Build secure partner-side runner and grader software that can compile, execute, verify, and benchmark candidate artifacts on third-party accelerator hardware.
- Integrate hardware profiles, ISA and toolchain context, compilers, runtimes, and inference-serving engines into a repeatable optimization workflow.
- Turn research prototypes into reliable product surfaces with clear contracts, debuggable failure modes, reproducible outputs, and excellent developer ergonomics.
- Develop correctness and performance evaluation systems spanning latency, throughput, memory use, utilization, and cost efficiency.
- Build artifact, provenance, and qualification workflows that make optimized kernels, binaries, configurations, and reports safe to review and deploy.
- Collaborate with Research, Inference Engineering, Infrastructure, Security, Product, and Strategic Partnerships to deliver production-ready solutions.
- Drive technical architecture and execution across ambiguous, cross-functional initiatives that connect OpenAI systems with partner environments.
Basic Qualifications
- 8+ years of professional software engineering experience building large-scale distributed systems, infrastructure platforms, or cloud services, or equivalent depth of experience.
- Strong programming skills in one or more of C++, Python, Go, or Rust.
- Experience designing and operating highly available backend systems, APIs, job orchestration systems, or durable workflows for production workloads.
- Strong understanding of distributed systems, Linux, networking, storage, containers, and modern cloud architectures.
- Experience debugging complex systems and using measurement, profiling, and benchmarks to guide engineering decisions.
- Proven ability to lead complex technical initiatives as a senior individual contributor and work effectively across organizational boundaries.
Preferred Skills
- Experience with AI infrastructure, inference-serving systems, or large-scale machine learning systems.
- Experience with compilers, runtimes, kernel optimization, or performance engineering; familiarity with technologies such as LLVM, MLIR, Triton, CUDA, or ROCm is a plus.
- Familiarity with GPUs, accelerators, hardware architecture, ISA concepts, or vendor toolchains.
- Experience with inference-serving frameworks or engines such as vLLM, SGLang, Triton Inference Server, or similar systems.
- Experience building developer platforms, external APIs, remote execution systems, or secure partner-facing infrastructure.
- Experience working with strategic cloud, hardware, or infrastructure partners.
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.