OpenAI에서 ChatGPT 및 API의 성능, 신뢰성, 효율성을 극대화할 Performance Engineer를 채용합니다. 7년 이상의 경력을 바탕으로 대규모 분산 시스템의 성능을 분석하고 최적화하는 역할을 수행합니다. 성능 프로파일링, OS 내부 구조, GPU 최적화에 대한 깊은 이해가 필수적이며, 복잡한 시스템 문제를 해결하고 기술적 영향력을 발휘할 수 있는 분을 찾습니다.
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.
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.
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.
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.
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.
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