Sovereign AI Compute Engineer — Linux & Kubernetes

Mistral AI; France; Hybride; EUR 110 000 - 150 000; Plein temps

Avantages offerts par ce poste

Healthcare coverage

Relocation support

Wellness programs

Meal and transportation allowances

Résumé du poste

Mistral AI is seeking an AI Compute Engineer to build and support the infrastructure behind sovereign AI. You’ll manage Linux environments, cloud systems, and AI workloads to ensure reliability and security for customers.

You will collaborate with research, product, and infrastructure teams while advancing cloud-native tech like Kubernetes and GPU orchestration. This role emphasizes practical, hands-on work in a fast-evolving AI platform.

Qualifications

• Strong Linux system administration 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.
• Customer-focused mindset: diagnose, explain, and resolve technical issues for users.

Responsabilités

• Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads.
• Troubleshoot 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 such as Kubernetes and GPU orchestration.

Connaissances

Linux administration

Customer-focused

Collaborative

Cloud-native technologies

Outils

Slurm

Kubernetes

GPU orchestration

Distributed storage

Description du poste

Mistral AI is seeking an AI Compute Engineer to build and support the infrastructure behind sovereign AI. You’ll manage Linux environments, cloud systems, and AI workloads to ensure reliability and security for customers.

You will collaborate with research, product, and infrastructure teams while advancing cloud-native tech like Kubernetes and GPU orchestration. This role emphasizes practical, hands-on work in a fast-evolving AI platform.