Sovereign AI Compute Engineer

Mistral; Amsterdam; On-site; EUR 75,000 - 110,000; Full time

Job summary

Mistral is seeking an AI Compute Engineer to build and support the infrastructure behind sovereign AI. You will work at the intersection of frontier models, products, and compute across large-scale Linux environments, cloud systems, and AI workloads.

You will troubleshoot incidents, collaborate with research and product teams, and help customers realise reliable, secure AI deployments with modern cloud-native technologies.

Qualifications

• Strong Linux system administration experience at scale.
• Proficiency in Slurm and/or Kubernetes to manage workloads.
• Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus.
• Customer-focused mindset: ability to diagnose, explain, and resolve technical issues for users.
• Pragmatic, collaborative, and hands-on — thrives at the intersection of AI, infrastructure, and customer success.

Responsibilities

• Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads.
• Troubleshoot and resolve incidents to ensure high availability, performance, and security for models, products, and compute platforms.
• Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs.
• Provide technical support to customers and internal teams, diagnosing issues and guiding solutions.
• Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration, as we evolve the platform.

Skills

Linux administration

Kubernetes

Slurm

Distributed storage

Cloud security

GPU/AI/ML workloads

Customer focus

Job description

Mistral is seeking an AI Compute Engineer to build and support the infrastructure behind sovereign AI. You will work at the intersection of frontier models, products, and compute across large-scale Linux environments, cloud systems, and AI workloads.

You will troubleshoot incidents, collaborate with research and product teams, and help customers realise reliable, secure AI deployments with modern cloud-native technologies.