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Infrastructure Engineer (ML Compute) - London

H Company · London

6 days ago

HybridFull_timeGPU cluster operationsKubernetes orchestrationGPU workload scheduling

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