Software Engineer, GPU Infrastructure- ChatGPT Engineering
RemoteUnited Kingdom
United KingdomRemoteFull TimeAI ServicesLarge
Full TimeLargeAI Services
Job Summary
Design and operate software managing large-scale GPU infrastructure supporting ChatGPT inference. Build internal platforms and AI-powered agents that automate fleet operations, reduce manual intervention, and improve observability across thousands of GPUs. Develop systems for capacity planning, scheduling, fleet health monitoring, and incident response to identify bottlenecks and enhance utilization. Partner with research, platform, and systems teams to continuously improve the compute platform while establishing engineering best practices for operational excellence.
Required 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
Desired Qualifications
- 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
- 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
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