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Mistral is building full-stack AI solutions, from frontier models to developer tools and compute infrastructure. The company partners with enterprises across finance, manufacturing, defense, healthcare, and the public sector to co-create customized AI systems.
As an AI Compute Engineer, you will own and operate the infrastructure powering Mistral's sovereign AI platform. Your responsibilities include managing large-scale Linux environments, cloud systems, and AI workloads to ensure high availability, performance, and security. You'll troubleshoot and resolve incidents affecting models, products, and compute platforms, working closely with research, product, and infrastructure teams to align systems with both AI capabilities and customer needs.
You will provide technical support to customers and internal teams, diagnosing complex issues and guiding solutions to ensure smooth operations of Mistral's AI solutions. A key part of your role involves exploring and contributing to modern cloud-native technologies, including Kubernetes and GPU orchestration, as the company evolves its sovereign AI platform toward next-generation infrastructure.
The ideal candidate brings strong Linux system administration experience at scale, proficiency with Slurm and/or Kubernetes for workload management, and familiarity with distributed storage, high-performance networking, cloud security, or GPU/AI/ML workloads. You should have a customer-focused mindset, able to diagnose and explain technical issues clearly to users. You thrive at the intersection of AI, infrastructure, and customer success, with a pragmatic, collaborative, and hands-on approach to driving modernization in a fast-evolving landscape.
