GPU Compute Infrastructure Engineer for ML Training & Serving

H Company; Paris; Ibrido; EUR 110.000 - 150.000; Tempo pieno

Descrizione del lavoro

H Company is seeking a Site Reliability Engineer focused on GPU infrastructure to own the compute that powers model training, evaluation, and serving systems. You’ll work in the Platform Infrastructure team, operating GPUs, clusters, and schedulers across cloud, on-prem, and edge-like environments.

You’ll run Kubernetes clusters for GPU training and inference, improve scheduling, and drive reliability with cross-team collaboration. Hybrid role in Paris and London with competitive package.

Competenze

• Have built and run GPU workloads on Kubernetes.
• Design a GPU cluster for training and online RL from scratch.
• Debug at OS level and below (Linux, GPU drivers, networking, storage).
• Write strong Python.

Mansioni

• 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.

Conoscenze

Kubernetes

Python

GPU workloads

OS debugging

Networking

Cloud capacity management

SRE practices

Strumenti

Slurm

Kueue

Karpenter

SkyPilot

Terraform

AWS EKS

NCCL

Open MPI

Descrizione del lavoro

H Company is seeking a Site Reliability Engineer focused on GPU infrastructure to own the compute that powers model training, evaluation, and serving systems. You’ll work in the Platform Infrastructure team, operating GPUs, clusters, and schedulers across cloud, on-prem, and edge-like environments.

You’ll run Kubernetes clusters for GPU training and inference, improve scheduling, and drive reliability with cross-team collaboration. Hybrid role in Paris and London with competitive package.