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Software Development

ChatGPT Performance Engineer

OpenAI · San Francisco · full-time

Software Developmentfull-timeSan Francisco$347K – $445K
Applied AIApplied AI Engineering
RemoteJobs editorial overview

Strategic Overview

ChatGPT Performance Engineer at OpenAI is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as 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.

The role is listed for San Francisco with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Applied AI, Applied AI Engineering.

Job seeker snapshot

Key information at a glance

Role focusSoftware Development
LocationSan Francisco
Employmentfull-time
Experience7+ years of experience
Salary$347K – $445K
PostedApr 15, 2026
Last seenOct 25, 2026
Role context

About This Role

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.

What the role delivers

Key Responsibilities & Objectives

  • 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.
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • Have 7+ years of experience in software engineering with a strong track record in performance or reliability of high-scale distributed systems.
  • Have a strong understanding of OS internals, scheduling, memory management, and IO patterns.
  • Have demonstrated success navigating ambiguity and aligning stakeholders around performance goals.
Compensation & benefits

Salary & Benefits

Published compensation: $347K – $445K

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

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.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This dev opening is a useful opportunity for candidates whose experience matches Applied AI, Applied AI Engineering. Its strongest career signal is the scope of the work itself — particularly Analyze and optimize performance across application, middleware, runtime, and infrastructure layers—networking, storage, Python runtime, GPU utilization, and beyond. — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground Applied AI, Applied AI Engineering, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencyashby

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.