GPU Infrastructure Engineer - AI Compute (Kubernetes, Paris)

present of AI; Paris; Hybrid; EUR 65,000 - 90,000; Full time

Job summary

H Company seeks a GPU infra engineer to keep a fleet of GPUs healthy and efficiently placed for research and product workloads. The role requires running GPU workloads on Kubernetes, tracing faults through Linux, drivers, networking and storage, and writing solid Python.

SRE or infra engineering background is a bonus, while ML research experience is not required. The successful candidate will balance training and serving capacity, automate routine upkeep, and collaborate with cloud providers to

Qualifications

• Experience running GPU workloads on Kubernetes.
• Trace faults through Linux, drivers, networking and storage.
• Solid Python programming skills.
• Experience as an SRE or infrastructure engineer is a plus.

Responsibilities

• Keep a fleet of GPUs healthy, busy and well placed for training and serving models.
• Automate fault detection and remediation across the stack.
• Coordinate capacity trade-offs between training and inference workloads.
• Lend support during cloud-provider negotiations and optimization.

Skills

Kubernetes

Python

Linux troubleshooting

Incident management

Tools

Kubernetes

Job description

H Company seeks a GPU infra engineer to keep a fleet of GPUs healthy and efficiently placed for research and product workloads. The role requires running GPU workloads on Kubernetes, tracing faults through Linux, drivers, networking and storage, and writing solid Python.

SRE or infra engineering background is a bonus, while ML research experience is not required. The successful candidate will balance training and serving capacity, automate routine upkeep, and collaborate with cloud providers to