工作负载迁移与性能工程师
Workload Porting & Performance Engineer
关于团队
OpenAI 的基础设施团队构建并评估支持高级 AI 工作负载的系统。我们与硬件、建模和架构团队紧密合作，确保新平台在实际性能上符合工作负载需求。
我们的团队专注于理解在不断演进的硬件平台上工作负载的行为——弥合理论能力与实际系统性能之间的差距。
关于职位
我们正在寻找一名工作负载迁移与性能工程师，通过将基准测试和真实工作负载迁移到新硬件平台，分析性能并识别系统瓶颈，来评估新硬件平台。
在此职位中，你将负责在新系统上启动工作负载，表征性能行为，并调整工作负载以更好地利用硬件能力。你将在验证新平台方面发挥关键作用，确保计算、内存和网络子系统的性能符合预期。
该职位需要在硬件和软件边界上有较强的实际性能分析、工作负载优化和系统级调试经验。
该职位位于加利福尼亚州旧金山。我们采用每周三天在办公室的混合办公模式，并提供搬迁协助。
主要职责
- 在新的硬件平台上迁移并启用基准测试和真实工作负载。
- 在计算、内存、存储和网络子系统上评估系统性能。
- 识别并分析性能瓶颈和低效之处。
- 调整和优化工作负载，以更好地利用硬件能力。
- 开发并运行性能实验和分析流程。
- 比较预期与实际性能，并向以下团队提供反馈：
- 硬件架构团队
- 性能建模团队
- 系统和软件工程师。
- 跨堆栈调试问题，包括软件、运行时和硬件交互。
- 提供可操作的见解，以指导平台准备和部署决策。
资格要求
- 具有性能分析、基准测试或工作负载优化的经验。
- 对系统架构有深入理解，包括 CPU/GPU、内存和 I/O 子系统。
- 具有在不同硬件平台上迁移或调整工作负载的经验。
- 熟悉分析工具和性能调试技术。
- 能够在硬件/软件边界上识别性能问题的根本原因。
- 有使用 Python、C++ 或其他编程语言进行自动化脚本开发的经验。
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About the Team
OpenAI’s Infrastructure organization builds and evaluates the systems that power advanced AI workloads. We work closely with hardware, modeling, and architecture teams to ensure that new platforms deliver real-world performance aligned with workload needs.
Our team focuses on understanding workload behavior across evolving hardware platforms—bridging the gap between theoretical capability and observed system performance.
About the Role
We are seeking a Workload Porting & Performance Engineer to evaluate new hardware platforms by porting benchmarks and real-world workloads, analyzing performance, and identifying system bottlenecks.
In this role, you will bring up workloads on new systems, characterize performance behavior, and adapt workloads to better utilize hardware capabilities. You will play a critical role in validating new platforms and ensuring that performance aligns with expectations across compute, memory, and networking subsystems.
This role requires strong hands-on experience with performance analysis, workload optimization, and system-level debugging across hardware and software boundaries.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.
Key Responsibilities
- Port and enable benchmarks and real-world workloads on new hardware platforms.
- Evaluate system performance across compute, memory, storage, and networking subsystems.
- Identify and analyze performance bottlenecks and inefficiencies.
- Adapt and optimize workloads to better utilize hardware capabilities.
- Develop and run performance experiments and profiling workflows.
- Compare expected vs. observed performance and provide feedback to:
- hardware architecture teams
- performance modeling teams
- system and software engineers.
- Debug issues across the stack, including software, runtime, and hardware interactions.
- Provide actionable insights to guide platform readiness and deployment decisions.
Qualifications
- Experience with performance analysis, benchmarking, or workload optimization.
- Strong understanding of system architecture, including CPU/GPU, memory, and I/O subsystems.
- Experience porting or adapting workloads across different hardware platforms.
- Familiarity with profiling tools and performance debugging techniques.
- Ability to identify root causes of performance issues across hardware/software boundaries.
- Experience working in large-scale or distributed system environments.
Preferred Skills
- Experience with AI/ML workloads, including training or inference systems.
- Familiarity with GPU or accelerator-based systems.
- Experience working with low-level performance tools (profilers, tracing, microbenchmarks).
- Background in systems software, compilers, or runtime optimization.
- Experience collaborating with hardware and architecture teams on performance validation.
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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