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Software Engineer, GPU Infrastructure- ChatGPT Engineering
OpenAIWebsite
Full-time
Mid Level
hybrid
Europe
Posted 4 days ago1 views
Job Description
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.
You'll design and build the systems that manage GPU clusters at scale—from fleet health and capacity planning to operational automation and intelligent agents that reduce manual intervention. You'll partner closely with infrastructure, research, and product engineering teams to improve reliability, developer productivity, and overall compute utilization.
This role is ideal for engineers who enjoy solving complex operational challenges, building internal platforms, and working on infrastructure that directly powers frontier AI.
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.
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.
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 ne…
AI Stack
Tools & Frameworks
ChatGPT
Skills Required
Research
Fullstack + AI
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