Description
The role develops and improves core GPU-platform services in Go and Python, handling resource allocation, scheduling, performance, reliability, production issues, scalability, and security for 10,000+ users. Candidates need 0–2 years of technical experience, strong Go and/or Python proficiency, Linux experience, and interest in infrastructure, distributed systems, or performance engineering; the posting also welcomes open-source contributions, competition experience, Kubernetes or GPU-tooling experience, and systems-level networking, storage, or virtualisation knowledge.
