OpenAI
Software Engineer, GPU Infrastructure- ChatGPT Engineering
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About The Team
ChatGPT Engineering builds and operates the compute platform powering one of the world's largest AI products. Every ChatGPT conversation relies on massive GPU clusters serving inference workloads with high reliability, efficiency, and performance.
As our GPU fleet continues to grow, we're investing in the infrastructure that operates it. Our team builds the tooling, automation, and intelligent systems that make GPU infrastructure scalable, observable, and increasingly autonomous. We work across production engineering, distributed systems, capacity management, and AI-powered operational tooling to help researchers and product teams move faster while maximizing the efficiency of every GPU.
This is a unique opportunity to work on infrastructure at the frontier of AI, where small improvements in fleet efficiency, reliability, and automation have an outsized impact on the development and deployment of AGI.
About The Role
We're looking for a Software Engineer with deep experience operating large-scale GPU or compute infrastructure.
In this role, you will:
- Design, build, and operate software that manages large-scale GPU infrastructure supporting ChatGPT inference.
- Build internal platforms, tooling, and AI-powered agents that automate fleet operations and reduce operational overhead.
- Improve observability, reliability, and operational efficiency across thousands of GPUs.
- Develop systems for capacity planning, scheduling, fleet health monitoring, and incident response.
- Identify infrastructure bottlenecks and implement solutions that improve utilization, scalability, and performance.
- Partner closely with research, platform, networking, and systems teams to continuously improve our compute platform.
- Help establish engineering best practices around operational excellence, automation, and infrastructure reliability.
You might thrive in this role if you:
- Have experience operating large-scale production infrastructure, preferably GPU clusters or other compute-intensive distributed systems.
- Have a background in Production Engineering, Site Reliability Engineering (SRE), Infrastructure Engineering, or Platform Engineering.
- Have built software that automates operational workflows rather than relying on manual processes.
- Have experience with Kubernetes, Linux systems, container orchestration, or distributed infrastructure.
- Understand infrastructure observability, monitoring, capacity planning, and incident management.
- Enjoy identifying cross-team pain points and building reusable platforms that improve developer productivity.
- Are comfortable working across software engineering and systems operations, owning problems end-to-end.
- Thrive in fast-moving environments with significant technical ambiguity.
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Qualifications
- 5+ years of software engineering experience building production infrastructure.
- Strong programming skills in Go, Python, C++, Rust, or similar systems languages.
- Experience designing and operating highly available distributed systems.
- Experience with GPU infrastructure, high-performance computing, ML infrastructure, or large-scale compute platforms.
- Experience with Kubernetes, cloud infrastructure, Linux, networking, and observability tooling.
- Excellent debugging, systems design, and operational problem-solving skills.
- Strong communication skills and experience collaborating across engineering organizations.
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.
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.
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