GPU Compute Infra Engineer for ML Systems
Emploive
Emploive is seeking an experienced Infrastructure engineer to own the GPU compute powering our model training, evaluation, and serving systems. You’ll run Kubernetes clusters for GPU workloads, manage capacity with cloud providers, and collaborate across research, product, and platform teams.
This hybrid role in London/Paris involves monitoring reliability, improving scheduling, and diagnosing GPU/OS issues to deliver continuous improvements to the GPU stack.
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