Infrastructure Engineer (ML Compute) - London
H Company · London
6 days ago
HybridFull_timeGPU cluster operationsKubernetes orchestrationGPU workload scheduling
6 days ago
Workplace
Hybrid
Employment
Full_time
Location
London
Posted
6 days ago
Summary
This infrastructure engineer will operate GPU compute systems supporting model training, evaluation, and serving. The role spans Kubernetes clusters, GPU scheduling, node health, and cloud capacity, with a hybrid schedule of three days per 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, drain, and repair unhealthy GPU nodes
- Manage compute capacity with cloud providers
- Debug failures across Linux, storage, and networking
kuberneteslinuxpythonslurmkueuekarpenterskypilotAWSEKSSageMaker HyperPodEFAInfiniBandNCCLOpen MPIterraformgpu drivers
GPU cluster operationsKubernetes orchestrationGPU workload schedulingcloud compute capacitymodel training and inference infrastructure
