Lead AI training infrastructure as a senior staff engineer at scale.
Shape the architecture and long-term technical direction of a serverless GPU training platform serving enterprises and AI labs. You'll tackle complex distributed systems challenges—GPU scheduling, fault tolerance, model parallelism, and performance optimization—while mentoring senior engineers and driving technical decisions across teams. This role demands 15+ years in large-scale systems with deep expertise in GPU training, HPC, or ML infrastructure.
Membership is €29/month, cancel anytime: every rate, every original listing link, and a daily alert for roles matching your filters.
Found at a specialist agency · listed 23 October 2026 · InsideJobs links you to the original posting.