Summary

This mid-level infrastructure engineer will run GPU compute clusters and capacity supporting model training, evaluation, and serving. The role is hybrid, with three days a week in the Paris or London office and occasional travel between them.

Responsibilities

• Run Kubernetes clusters for GPU training and inference
• Improve GPU workload scheduling and placement
• Detect and repair unhealthy GPU nodes
• Manage compute capacity with cloud providers
• Debug failures across GPUs, Linux, storage, and networking