At a Glance
- Tasks: Build and manage large-scale GPU infrastructure for ChatGPT, enhancing reliability and efficiency.
- Company: Join OpenAI, a leading AI research and deployment company with a mission to benefit humanity.
- Benefits: Enjoy competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a fast-paced environment focused on innovation.
- Why this job: Make a real impact in AI by solving complex operational challenges and improving developer productivity.
- Qualifications: 5+ years in software engineering with strong skills in Go, Python, or C++.
The predicted salary is between 59400 - 72600 £ per year.
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.
Software Engineer, GPU Infrastructure- ChatGPT Engineering employer: AI Startups UK
Odyssey is an exceptional employer, offering a dynamic work environment in London where innovation thrives. As a VP of Research, you'll lead a world-class team at the forefront of AI technology, with ample opportunities for professional growth and collaboration across disciplines. Our culture fosters creativity and ambition, making it an ideal place for those passionate about shaping the future of world models and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, GPU Infrastructure- ChatGPT Engineering
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We think you need these skills to ace Software Engineer, GPU Infrastructure- ChatGPT Engineering
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at AI Startups UK.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at AI Startups UK and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at AI Startups UK
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If AI Startups UK uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
