Reliability Engineer for Large-Scale AI Workloads
Fluidstack
Fluidstack is seeking a Production Engineer to own reliability for high-demand customer workloads and SLA management. You will debug across the full stack, from hardware to scheduler, ensuring live systems stay online during AI training runs. You will draft precise incident updates, drive root-cause analyses, and push the engineering teams to fix underlying causes rather than symptoms. GPU workloads, InfiniBand, Slurm, and Kubernetes experience are a plus. #J-18808-Ljbffr Fluidstack
Vacancy posted 2 days ago
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