Systems Engineer, HPC

Job description

About Mistral 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. 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) 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 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 —------------------------------------------------------------------ Why Join Mistral? Impact: Play a pivotal role in scaling Mistral’s cutting-edge AI infrastructure. Growth: Opportunity to shape data centre operations from the ground up in a high-growth startup environment. Collaboration: Work with a talented, cross-functional team passionate about AI and technology. Flexibility: Competitive compensation, benefits, and the chance to contribute to revolutionary projects. About Mistral 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. 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) 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 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 —------------------------------------------------------------------ Why Join Mistral? Impact: Play a pivotal role in scaling Mistral’s cutting-edge AI infrastructure. Growth: Opportunity to shape data centre operations from the ground up in a high-growth startup environment. Collaboration: Work with a talented, cross-functional team passionate about AI and technology. Flexibility: Competitive compensation, benefits, and the chance to contribute to revolutionary projects.