Infrastructure Engineer (ML Systems) - Paris
- Type
- Job
- Organization
- Hcompany
- Location
- Hybrid Paris
- Deadline
- Rolling or not stated
- Who can apply
- On-site in Hybrid Paris
- Posted
- 13 October 2026
- Skills mentioned
- Kubernetes, Linux
About this Opportunity
You’ll own the GPU compute that powers our model training, evaluation and serving systems.This role sits in our Infrastructure team, which works at the lowest layers of our stack, from Kubernetes down to the GPU hardware. You’ll run the clusters, GPUs and schedulers that our research, product and platform teams depend on, and manage the capacity we buy from our cloud providers.What success looks likeSuccess is measured by how well we use our GPUs: keeping production reliable and improving the performance of our training and serving stack.What you’ll be doingRunning Kubernetes clusters for GPU
Documents you may need
- Updated CV / Resume
- Cover Letter (tailored to this role)
How to apply
- Click the "Apply — via Arbeitnow" button to go to the source page.
- Read the full description and confirm you meet the requirements.
- Prepare your CV and cover letter tailored to this role.
- Submit your application through the official portal.
- Follow up within 1–2 weeks if you do not hear back.
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