At a Glance
- Tasks: Design and develop systems for deploying and managing AI models at scale.
- Company: Join OpenAI, a leader in AI research and deployment.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and diversity.
- Why this job: Make a real impact on AI technology and improve developer experiences.
- Qualifications: 5+ years in software engineering with strong programming skills.
The predicted salary is between 72000 - 88000 £ per year.
About the Team
ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. We develop the systems and tools that make it possible to introduce new models, manage production deployments, respond to operational issues, and use infrastructure effectively at scale. Our work spans distributed systems, platform engineering, infrastructure automation, and developer experience. We partner closely with research, infrastructure, and product teams to make model deployment more reliable, more efficient, and easier to manage.
About the Role
We are looking for a software engineer with experience building or operating large-scale production systems. You will design and develop systems that support the model lifecycle in production, including deployment orchestration, configuration management, operational automation, reliability, and capacity management. You will help transform complex operational processes into scalable platform capabilities that enable teams across OpenAI to deploy and manage models with greater confidence and less manual effort. 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 and evolve the platform used to deploy, configure, and manage models across ChatGPT.
- Develop systems for deployment orchestration, model rollouts, operational visibility, and production readiness.
- Create abstractions and tooling that simplify complex infrastructure and improve the developer experience.
- Automate operational workflows, including incident detection, diagnosis, mitigation, and recovery.
- Improve the reliability, scalability, and efficiency of model deployments and the infrastructure that supports them.
- Build systems that support capacity planning, resource allocation, and infrastructure utilization.
- Partner with research, infrastructure, and product engineering teams to identify common challenges and deliver reusable platform capabilities.
- Shape the technical direction of the model management platform as ChatGPT and its underlying systems continue to evolve.
You Might Thrive in This Role If You
- Have built or operated internal platforms, distributed systems, or large-scale production infrastructure.
- Enjoy turning complex operational problems into reliable software and reusable abstractions.
- Have experience with deployment systems, orchestration, configuration management, or infrastructure automation.
- Understand production reliability, observability, capacity planning, and incident response.
- Care about developer experience and building tools that make other engineering teams more effective.
- Are comfortable working across organizational boundaries and taking ownership from system design through production operation.
- Thrive in fast-moving environments with significant technical ambiguity.
- Are interested in model-serving or ML infrastructure, but do not need specialized experience with GPUs or low-level hardware.
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 platform engineering, infrastructure engineering, production engineering, site reliability engineering, or similar disciplines.
- Strong systems design, debugging, 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 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.
Software Engineer, Model Deployment- ChatGPT Engineering in London employer: OpenAI
OpenAI is an exceptional employer, offering a dynamic work environment in London where innovation thrives. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative projects that foster professional development. The company's commitment to reliability and optimization in machine learning ensures that your contributions will have a meaningful impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer, Model Deployment- ChatGPT Engineering in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at OpenAI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to OpenAI.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like OpenAI.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like OpenAI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Software Engineer, Model Deployment- ChatGPT Engineering in London
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 OpenAI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at OpenAI 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 OpenAI
✨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 OpenAI 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.
