Systems Engineer, HPC

At Mistral AI, we build high-performance, open, and efficient AI systems designed to power the next generation of applications. Our infrastructure combines large-scale distributed systems, cloud platforms, and HPC environments to support cutting-edge research and production workloads.

We are a collaborative, low-ego, and highly technical team, operating across Europe, the US, and beyond. As we scale rapidly, we are building the foundational infrastructure to support thousands of nodes and petabyte-scale systems.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.

We are looking for Systems Engineers / System Administrators to help design, operate, and scale the infrastructure behind Mistral’s AI platforms.

This is a hands-on, hybrid role combining:

Systems administration (operating and troubleshooting large-scale Linux environments)

Systems engineering (automation, scalability, and performance improvements)

You’ll work closely with infrastructure, HPC, and research teams to ensure our clusters and platforms run reliably at scale.

• Help scale clusters toward hundreds to thousands of nodes

• Work on systems handling petabyte-scale storage

• Improve performance, reliability, and resource utilisation

• Automate operational tasks using tools like Python, Bash, Ansible, or Terraform

• Improve deployment, provisioning, and system lifecycle management

• Contribute to system design and architecture decisions

• Work closely with:

  • HPC / infrastructure teams

  • Platform / DevOps engineers

  • Research teams

• Act as a bridge between users and infrastructure

• Strong Linux systems administration experience (core requirement)

• Experience working in large-scale environments:

  • HPC clusters or cloud infrastructure

• Experience with Job schedulers (e.g. Slurm)

• Solid troubleshooting skills across systems, hardware, and networks

We are not expecting everything — strong depth in one area is valuable.

• Containers / orchestration (e.g. Kubernetes)

• Storage systems (e.g. Ceph, Lustre, NFS)

• Networking fundamentals (Ethernet; InfiniBand is a plus)

• Infrastructure as Code / automation tooling

• GPU or AI/ML experience

• Pragmatic problem solver who can operate in fast-scaling environments

• Comfortable working across multiple domains (“Swiss army knife” mindset)

• Able to go deep in one area while learning others

• Low-ego, collaborative, and hands-on

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