At a Glance
- Tasks: Design and build distributed systems for large-scale AI training workloads.
- Company: Join OpenAI, a leader in cutting-edge AI technology.
- Benefits: Competitive salary, health benefits, and opportunities for remote work.
- Other info: Collaborative environment with excellent career growth potential.
- Why this job: Make a real impact on AI research with innovative technology.
- Qualifications: Experience in low-level software and understanding of distributed systems.
The predicted salary is between 60000 - 80000 £ per year.
About the Team
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.
About the Role
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
Equal Opportunity Employer
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: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
