Systems Engineer

Role Description

As a Systems Engineer / System Administrator in the Compute team, you will help design, operate, and scale the infrastructure powering Mistral’s AI platforms. This role exists to ensure our large-scale Linux environments, HPC clusters, and cloud systems run reliably, enabling cutting-edge research and production workloads. You’ll collaborate closely with infrastructure, HPC, and research teams to bridge the gap between users and systems, solving complex problems in a rapidly scaling environment. Your work will directly impact the performance, reliability, and scalability of systems handling petabyte-scale data and thousands of nodes.

What You Will Do

• Operate and maintain large-scale Linux environments, including bare metal, clusters, and cloud infrastructure.
• Monitor system health, troubleshoot incidents, and ensure high availability for production and research workloads.
• Scale clusters toward hundreds to thousands of nodes while improving performance and resource utilization.
• Automate operational tasks using tools like Python, Bash, Ansible, or Terraform to streamline deployment and system lifecycle management.
• Contribute to system design and architecture decisions to enhance reliability and scalability.
• Work with job schedulers (e.g., Slurm) to optimize workload management.
• Collaborate with HPC, infrastructure, and research teams to align systems with user needs.
• Act as a bridge between technical teams and end-users to resolve cross-functional challenges.

Qualifications

• Strong Linux systems administration experience in large-scale environments (HPC clusters or cloud infrastructure).
• Experience with job schedulers (e.g., Slurm) and troubleshooting across systems, hardware, and networks.
• Familiarity with containers/orchestration (e.g., Kubernetes), storage systems (e.g., Ceph, Lustre, NFS), or networking fundamentals (Ethernet, InfiniBand).
• Proficiency with Infrastructure as Code or automation tooling (e.g., Ansible, Terraform).
• Exposure to GPU or AI/ML workloads is a plus.
• Pragmatic problem-solving skills with the ability to operate in fast-scaling environments.
• Comfortable working across multiple domains with a "Swiss army knife" mindset.
• Low-ego, collaborative, and hands-on approach to work.

Benefits

• Comprehensive benefits package designed to support your well-being, growth, and work-life balance.
• Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.