GPU Infra Engineer – Hybrid (Kubernetes, Training & Inference)

Hcompany; Paris; Hybrid; EUR 90,000 - 150,000; Full time

Job summary

Hcompany in Paris/London hybrid environments seeks a senior GPU infrastructure engineer to own the GPU compute powering model training, evaluation, and serving systems. You’ll run Kubernetes clusters for GPU training and inference, manage capacity with cloud providers, and optimize scheduling and placement across regions.

The role sits in the Platform Infrastructure team; success is measured by reliability and performance of the training and serving stack, with a path toward a globally

Qualifications

• Experience running GPU workloads on Kubernetes.
• Ability to 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

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

Skills

GPU workloads on Kubernetes

Python programming

Kubernetes

Tools

Slurm

Karpenter

SkyPilot

Terraform

Job description

Hcompany in Paris/London hybrid environments seeks a senior GPU infrastructure engineer to own the GPU compute powering model training, evaluation, and serving systems. You’ll run Kubernetes clusters for GPU training and inference, manage capacity with cloud providers, and optimize scheduling and placement across regions.

The role sits in the Platform Infrastructure team; success is measured by reliability and performance of the training and serving stack, with a path toward a globally