Hybrid GPU Compute Infra Engineer for ML Training

Hcompany; Paris; Híbrido; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Hcompany in Paris/London hybrid environment is seeking an Infrastructure Engineer to own GPU compute powering model training, evaluation and serving systems. You’ll operate clusters, GPUs and schedulers, and manage capacity with cloud providers, from Kubernetes down to the hardware.

You’ll work with Platform Infrastructure, research and product teams to keep production reliable and optimize performance, with responsibilities across scheduling, node health, and capacity planning.

Formación

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

Responsabilidades

• 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.

Conocimientos

GPU workloads on Kubernetes

Scheduling and placement

Node health and repair

Python

Herramientas

Slurm

Kueue

Karpenter

SkyPilot

EKS

SageMaker HyperPod

EFA

InfiniBand

NCCL

Open MPI

Terraform

Descripción del empleo

Hcompany in Paris/London hybrid environment is seeking an Infrastructure Engineer to own GPU compute powering model training, evaluation and serving systems. You’ll operate clusters, GPUs and schedulers, and manage capacity with cloud providers, from Kubernetes down to the hardware.

You’ll work with Platform Infrastructure, research and product teams to keep production reliable and optimize performance, with responsibilities across scheduling, node health, and capacity planning.