ML Infrastructure Engineer

Mistral AI·Paris, France

DevOps/MLOpsSeniorFull-timeRemote

€120K-€200KPosted 4 Mar 2026

About the Role

Mistral AI is hiring an ML Infrastructure Engineer to build and scale training and inference infrastructure for our open-weight language models. You will design systems that enable efficient training of frontier models on large GPU clusters.

Requirements

5+ years of infrastructure or systems engineering experience
Strong experience with Kubernetes and container orchestration
Proficiency in Python and at least one systems language (Rust, C++, Go)
Experience managing large GPU clusters (NVIDIA A100/H100)
Deep understanding of networking and storage for ML workloads

Nice to Have

Experience with model serving frameworks (vLLM, TensorRT-LLM)
Background in HPC or scientific computing
Familiarity with European cloud providers
Experience with model parallelism strategies

Benefits

Competitive equity in a leading European AI company

French healthcare and social benefits

Remote-first work culture

Annual team retreats

Conference attendance budget

Relocation support to Paris

Skills

KubernetesPythonCUDAInfrastructureGPU ClustersMLOps

This listing was posted on 2026-03-04 and is almost certainly closed. It is kept for reference — check the employer’s own careers page for current openings.

Visit Mistral AI

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