Software Engineer, Platform Systems

Software Engineer, Platform Systems

Full-Time 36000 - 60000 £ / year (est.) On-site
O

At a Glance

  • Tasks: Design and build distributed systems for large-scale AI training workloads.
  • Company: Join OpenAI, a leader in AI research and deployment.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career development.
  • Why this job: Make a real impact on cutting-edge AI technology and infrastructure.
  • Qualifications: Experience in low-level software and understanding of distributed systems.

The predicted salary is between 36000 - 60000 £ per year.

The Platform Systems team at OpenAI operates at the intersection of cutting‑edge AI and large‑scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom‑built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform.

As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large‑scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large‑scale debugging.

In This Role, You Will

  • Design and build distributed failure detection, tracing, and profiling systems for large‑scale AI training jobs
  • Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior
  • Improve observability, reliability, and performance across OpenAI’s training platform
  • Debug and resolve issues in complex, high‑throughput distributed systems
  • Collaborate with systems, infrastructure, and research teams to evolve platform capabilities
  • Extend and adapt failure detection systems or tracing systems to support new training paradigms and workloads

You Might Thrive in This Role If You

  • Care deeply about performance, stability, and observability in distributed systems
  • Enjoy finding and fixing issues in large‑scale systems and automating operational workflows
  • Have experience writing low‑level software where system details matter
  • Understand hardware, operating systems, networking, concurrency, and distributed systems
  • Have a background in high‑performance computing or low‑level systems engineering
  • Are excited to work on critical infrastructure that powers frontier AI research

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, Platform Systems employer: OpenAI

OpenAI is an exceptional employer that fosters a high-performance, accountable, and customer-centric culture, making it an ideal place for the Head of Scaled Ads Solutions to thrive. With a commitment to innovation and responsible growth, employees benefit from collaborative opportunities across diverse teams, access to cutting-edge AI technology, and a strong focus on personal and professional development. Located in a vibrant tech hub, OpenAI offers a dynamic work environment where your contributions directly impact the future of AI and advertising.

O

Contact Details:

OpenAI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer, Platform Systems

✨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, Platform Systems

Distributed Systems
Failure Detection
Tracing Systems
Profiling Systems
Observability
Performance Analysis
High-Throughput Systems

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.