Level

OpenAI

ChatGPT Performance Engineer

OpenAI is hiring a ChatGPT Performance Engineer in San Francisco, United States. It pays $347k-$445k a year and Level rates it ; you can apply on OpenAI.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include Python, Golang and GPU.
  • Level classifies it as a senior role.
  • Level lists 793 other open roles at OpenAI.

AI in this role

Scale performance, reliability, and efficiency for ChatGPT and OpenAI's developer API infrastructure.

pythongolanggpu
ai-researchperformance-engineeringprofilingdistributed-systemsinfrastructure-optimization

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 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.

How we rate this

ChatGPT Performance Engineer at OpenAI rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ResearchPerformance EngineeringProfilingDistributed SystemsInfrastructure OptimizationPythonGolangGPU

Questions you could be asked

  1. Tell me about a research question you investigated. What did you find?
  2. Tell me about a project where performance engineering was part of your work. What did you do?
  3. Tell me about a project where profiling was part of your work. What did you do?
  4. Tell me about a project where distributed systems was part of your work. What did you do?
  5. Tell me about a project where infrastructure optimization was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Research, Performance Engineering, Profiling, Distributed Systems, and Infrastructure Optimization. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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