Hybrid GPU Infrastructure Engineer for ML Systems

H Company; Paris; Hybrid; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Hybrid work

Occasional travel

Job summary

H Company in Paris/London is seeking an Infrastructure engineer to own GPU compute powering model training, evaluation and serving. You’ll run Kubernetes clusters for GPU training and inference, and manage capacity with cloud providers.

By month 12 you’ll be responsible for a globally distributed GPU system, shifting capacity between training and inference as needs change. The role is hybrid, three days a week in our Paris or London office with occasional travel.

Responsibilities

• Running Kubernetes clusters for GPU training and inference
• Improving how GPU work is scheduled and placed
• Detecting, draining and repairing unhealthy GPU nodes
• Managing capacity with our cloud providers
• Debugging failures in GPUs, Linux, storage and networking

Job description

H Company in Paris/London is seeking an Infrastructure engineer to own GPU compute powering model training, evaluation and serving. You’ll run Kubernetes clusters for GPU training and inference, and manage capacity with cloud providers.

By month 12 you’ll be responsible for a globally distributed GPU system, shifting capacity between training and inference as needs change. The role is hybrid, three days a week in our Paris or London office with occasional travel.