Software Engineer, GPU Infrastructure- ChatGPT Engineering

Triwill Group; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

OpenAI in London seeks a software engineer to build and operate large-scale production systems powering ChatGPT. You’ll develop tooling for fleet health, capacity planning, automation, and incident response, collaborating with infra, research, and product teams to improve reliability and compute utilization.

The role suits engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale.

Qualifications

• Five or more years of software engineering experience building production infrastructure.
• Strong programming skills in Go, Python, C++, Rust, or a comparable language.
• Experience designing or operating highly available distributed systems.
• Experience with GPU infrastructure, high-performance computing, ML infra, or large-scale compute platforms.

Responsibilities

• Build software and internal tools to manage large-scale GPU infrastructure supporting ChatGPT inference.
• Develop systems for capacity planning, fleet health monitoring, and resource utilization.
• Automate operational workflows, including incident detection, diagnosis, and response.
• Identify and address bottlenecks affecting fleet reliability, scalability, and performance.
• Partner with infrastructure, research, and product engineering teams to improve the compute platform.

Skills

Go

Python

C++

Rust

Job description

ABOUT THE TEAM

ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently.

Our team builds the software, tooling, and operational systems that help manage this fleet at scale. We work across production engineering, distributed systems, capacity management, and operational automation to improve reliability, reduce manual work, and make better use of available compute.

ABOUT THE ROLE

We are looking for a software engineer with experience building or operating large-scale production systems.

You will develop the systems that help manage the GPU fleet powering ChatGPT, including tooling for fleet health, capacity planning, operational automation, and incident response. You will work closely with infrastructure, research, and product engineering teams to improve reliability, developer productivity, and compute utilization.

This role is a good fit for engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale.

IN THIS ROLE, YOU WILL

• Build software and internal tools to manage large-scale GPU infrastructure supporting ChatGPT inference.
• Develop systems for capacity planning, fleet health monitoring, and resource utilization.
• Automate operational workflows, including incident detection, diagnosis, and response.
• Identify and address bottlenecks affecting fleet reliability, scalability, and performance.
• Partner with infrastructure, research, and product engineering teams to improve the compute platform.

YOU MIGHT THRIVE IN THIS ROLE IF YOU

• Have experience operating large-scale production infrastructure, GPU clusters, or other compute-intensive distributed systems.
• Have a background in production engineering, site reliability engineering, infrastructure engineering, or platform engineering.
• Have built software that automates operational workflows and reduces manual work.
• Have worked with distributed infrastructure, cluster orchestration, or large-scale internal infrastructure platforms.
• Understand infrastructure observability, monitoring, capacity planning, and incident management.
• Enjoy identifying cross-team problems and building reusable tools that improve developer productivity.
• Are comfortable working across software engineering and systems operations, with ownership from design through production.
• Thrive in fast-moving environments with significant technical ambiguity.

QUALIFICATIONS

• Five or more years of software engineering experience building production infrastructure.
• Strong programming skills in Go, Python, C++, Rust, or a comparable language.
• Experience designing or operating highly available distributed systems.
• Experience with GPU infrastructure, high-performance computing, ML infrastructure, or large-scale compute platforms.
• Strong debugging, systems design, and operational problem-solving skills.
• Strong communication skills and experience collaborating across engineering teams.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We build AI systems that are capable, aligned, and broadly beneficial. Our infrastructure teams power the research and products that bring these systems to millions of users worldwide.

We believe diverse perspectives make stronger teams and better technology. We're committed to creating an inclusive workplace where people from all backgrounds can do their best work.

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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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.