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.

About the Role

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.

What You’ll Work On

Core Systems Operations

Operate and maintain large-scale Linux environments (bare metal, clusters, cloud)

Monitor system health, troubleshoot incidents, and ensure high availability

Support production and research workloads across multiple environments

Scaling Infrastructure

Help scale clusters toward hundreds to thousands of nodes

Work on systems handling petabyte-scale storage

Improve performance, reliability, and resource utilisation

Automation & Engineering

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

Cross-Functional Collaboration

Work closely with:

HPC / infrastructure teams

Platform / DevOps engineers

Research teams

Act as a bridge between users and infrastructure

What We’re Looking For

Must-have

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

Nice-to-have (any of these)

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

Profile We Value

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

XML job scraping automation by YubHub

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.

About the Role

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.

What You’ll Work On

Core Systems Operations

Operate and maintain large-scale Linux environments (bare metal, clusters, cloud)

Monitor system health, troubleshoot incidents, and ensure high availability

Support production and research workloads across multiple environments

Scaling Infrastructure

Help scale clusters toward hundreds to thousands of nodes

Work on systems handling petabyte-scale storage

Improve performance, reliability, and resource utilisation

Automation & Engineering

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

Cross-Functional Collaboration

Work closely with:

HPC / infrastructure teams

Platform / DevOps engineers

Research teams

Act as a bridge between users and infrastructure

What We’re Looking For

Must-have

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

Nice-to-have (any of these)

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

Profile We Value

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

XML job scraping automation by YubHub