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ChatGPT 性能工程师

机器翻译
查看雇主原标题ChatGPT Performance Engineer

OpenAI · San Francisco; New York City; Seattle; US - Remote · $347k – $445k

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 75/100,仅依据与该职位一起存储的证据计算。

75/100 发现指数
  • 新的雇主官方职位
  • 已披露薪资
  • 远程职位
  • 稀有职位匹配

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 已披露薪资+15
  • 远程职位+8
  • 稀有职位+11
  • 公司来源健康度+8

该职位未包含:提及签证担保、提及搬迁、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

机器翻译

关于团队 我们通过 ChatGPT 和 OpenAI API 等产品,将 OpenAI 的技术带给全世界。 我们力求从部署中学习,并让 AI 的益处广泛传播,同时确保这一强大工具被负责任且安全地使用。对我们而言,安全比不受约束的增长更重要。

关于该职位 OpenAI 正在寻找一位经验丰富的性能工程师,帮助我们扩展系统的性能、可靠性和效率。在这一职位中,你将运用深厚的技术专长,优化 ChatGPT 和我们的开发者 API 等关键任务产品的基础设施和应用层性能。你将与构建核心服务、训练模型和开发实时用户体验的团队进行跨职能合作,将我们的延迟、吞吐量和成本效率提升到新的水平。 我们正在寻找能够在模糊环境中茁壮成长、重视对系统的深入理解,并以交付可衡量影响为动力的工程师。这是一个高度技术性的个人贡献者职位,专注于根因分析、性能剖析、埋点监测,以及我们整个技术栈中架构层面的性能改进。

在这一职位中,你将: • 分析并优化应用、中间件、运行时和基础设施各层的性能——包括网络、存储、Python 运行时、GPU 利用率等。

• 开发工具和指标,为系统性能提供深入的可观测性。

• 与基础设施、平台、训练和产品团队紧密合作,确定关键性能目标并推动系统性改进。

• 影响架构和设计决策,在大规模场景下优先考虑延迟、吞吐量和效率。

• 主导对生产中高影响性能回退或可扩展性问题的调查。

• 推动性能测试策略,并帮助为关键系统定义围绕延迟和吞吐量的 SLA/SLO。

如果你具备以下条件,你可能会在这一职位中茁壮成长: • 拥有 7 年以上软件工程经验,并在高规模分布式系统的性能或可靠性方面有出色业绩。

• 深度

岗位职责

OpenAI 正在寻找一位经验丰富的性能工程师,帮助我们扩展系统的性能、可靠性和效率。在这一职位中,你将运用深厚的技术专长,优化 ChatGPT 和我们的开发者 API 等关键任务产品的基础设施和应用层性能。你将与构建核心服务、训练模型和开发实时用户体验的团队进行跨职能合作,将我们的延迟、吞吐量和成本效率提升到新的水平。 我们正在寻找能够在模糊环境中茁壮成长、重视对系统的深入理解,并以交付可衡量影响为动力的工程师。这是一个高度技术性的个人贡献者职位,专注于根因分析、性能剖析、埋点监测,以及我们整个技术栈中架构层面的性能改进。

在这一职位中,你将: • 分析并优化应用、中间件、运行时和基础设施各层的性能——包括网络、存储、Python 运行时、GPU 利用率等。

• 开发工具和指标,为系统性能提供深入的可观测性。

• 与基础设施、平台、训练和产品团队紧密合作,确定关键性能目标并推动系统性改进。

• 影响架构和设计决策,在大规模场景下优先考虑延迟、吞吐量和效率。

• 主导对生产中高影响性能回退或可扩展性问题的调查。

• 推动性能测试策略,并帮助为关键系统定义围绕延迟和吞吐量的 SLA/SLO。

如果你具备以下条件,你可能会在这一职位中茁壮成长: • 拥有 7 年以上软件工程经验,并在高规模分布式系统的性能或可靠性方面有出色业绩。

• 对性能剖析工具和追踪系统非常熟悉。

• 拥有在技术栈一个或多个层面优化性能的经验(例如数据库、网络、存储、应用运行时、GC 调优、Python/Golang 内部机制、GPU 利用率)。

• 对操作系统内部机制、调度、内存管理和 IO 模式有深入理解。

• 曾为大规模场景下的可观测性、基准测试或以性能为重点的基础设施做出贡献。

• 已证明能够在模糊环境中成功推进,并围绕性能目标协调各方利益相关者。

• 在解决复杂系统问题时重视简洁、严谨和协作。

关于 OpenAI OpenAI 是一家 AI 研究与部署公司,致力于确保通用人工智能造福全人类。我们不断拓展 AI 系统能力的边界,并力求通过我们的产品将其安全地部署到全世界。AI 是一种极其强大的工具,其创建必须以安全和人类需求为核心;为实现我们的使命,我们必须包容并重视构成人类完整光谱的众多不同视角、声音和经历。 我们是一家提供平等机会的雇主,不因种族、宗教、肤色、国籍、性别、性取向、年龄、退伍军人身份、残疾、遗传信息或其他适用的受法律保护特征而歧视任何人。 如需更多信息,请参阅 OpenAI 的《平权行动与平等就业机会政策声明》。 申请人的背景调查将依据适用法律进行,对于有逮捕或定罪记录的合格申请人,将依据相关法律考虑其就业,包括针对美国候选人的《旧金山公平机会条例》、《洛杉矶县雇主公平机会条例》和《加州公平机会法》。对于未建制洛杉矶县的员工:我们有合理理由认为,犯罪历史可能与以下工作职责存在直接、不利和负面的关系,并可能导致有条件录用通知被撤回:保护委托给你的计算机硬件免遭盗窃、丢失或损坏;在雇佣终止或任务结束时归还你持有的所有计算机硬件(包括其中包含的数据);以及对专有、机密和非公开信息保密。此外,工作职责要求访问安全且受保护的信息技术系统,并承担相关的数据安全义务。 如要通知 OpenAI 你认为该职位发布不合规,请通过此表单提交报告。与职位发布合规无关的询问将不会得到回复。 我们致力于为有残疾的申请人提供合理便利,相关请求可通过此链接提出。 OpenAI 全球申请人隐私政策 在 OpenAI,我们相信人工智能有潜力帮助人们解决巨大的全球挑战,我们希望 AI 带来的益处能够被广泛共享。加入我们,共同塑造技术的未来。

以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。

查看雇主原文

职位描述

About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. 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 OpenAI is looking for an experienced Performance Engineer to help us scale the performance, reliability, and efficiency of our systems. In this role, you'll apply deep technical expertise to optimize infrastructure and application-level performance across mission-critical products like ChatGPT and our developer API. You’ll work cross-functionally with teams building core services, training models, and developing real-time user experiences to push our latency, throughput, and cost-efficiency to the next level. We are looking for engineers who thrive in ambiguous environments, value deep systems understanding, and are motivated by delivering measurable impact. This is a highly technical, individual contributor role focused on root-cause analysis, profiling, instrumentation, and architecture-level performance improvements across our stack. In this role, you will: • Analyze and optimize performance across application, middleware, runtime, and infrastructure layers—networking, storage, Python runtime, GPU utilization, and beyond.

• Develop tooling and metrics that provide deep observability into system performance.

• Collaborate closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements.

• Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale.

• Lead investigations into high-impact performance regressions or scalability issues in production.

• Drive performance testing strategies and help define SLAs/SLOs around latency and throughput for critical systems.

You might thrive in this role if you: • Have 7+ years of experience in software engineering with a strong track record in performance or reliability of high-scale distributed systems.

• Are deeply co

岗位职责

OpenAI is looking for an experienced Performance Engineer to help us scale the performance, reliability, and efficiency of our systems. In this role, you'll apply deep technical expertise to optimize infrastructure and application-level performance across mission-critical products like ChatGPT and our developer API. You’ll work cross-functionally with teams building core services, training models, and developing real-time user experiences to push our latency, throughput, and cost-efficiency to the next level. We are looking for engineers who thrive in ambiguous environments, value deep systems understanding, and are motivated by delivering measurable impact. This is a highly technical, individual contributor role focused on root-cause analysis, profiling, instrumentation, and architecture-level performance improvements across our stack. In this role, you will: • Analyze and optimize performance across application, middleware, runtime, and infrastructure layers—networking, storage, Python runtime, GPU utilization, and beyond.

• Develop tooling and metrics that provide deep observability into system performance.

• Collaborate closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements.

• Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale.

• Lead investigations into high-impact performance regressions or scalability issues in production.

• Drive performance testing strategies and help define SLAs/SLOs around latency and throughput for critical systems.

You might thrive in this role if you: • Have 7+ years of experience in software engineering with a strong track record in performance or reliability of high-scale distributed systems.

• Are deeply comfortable with performance profiling tools and tracing systems.

• Have experience optimizing performance across one or more layers of the stack (e.g., database, networking, storage, application runtime, GC tuning, Python/Golang internals, GPU utilization).

• Have a strong understanding of OS internals, scheduling, memory management, and IO patterns.

• Have contributed to observability, benchmarking, or performance-focused infrastructure at scale.

• Have demonstrated success navigating ambiguity and aligning stakeholders around performance goals.

• Value simplicity, rigor, and collaboration when solving complex systems problems.

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 . 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 . 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 . OpenAI Global Applicant Privacy Policy 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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