Systems Engineer, Mistral AI
HPC
Generative AI model developers
Open for applications
Generative AI model developers
501-1000 employees
Open for applications
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
Our take
Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.
Mistral features up to 176 billion parameters, and its open-source nature has sparked concerns about potential misuse. However, Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.
In 2025, Mistral secured a massive €1.7 billion funding round, raising its valuation to €11.7 billion. This Series B funding, led by European chip firm ASML, underscores significant interest in alternatives to ChatGPT and a push away from Silicon Valley dependence by European AI competitors.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Sep 2025
$2.0bn
SERIES C
Jun 2024
$548.1m
SERIES B
Total funding: $3.1bn
Company benefits
- Competitive bonus structure
- Equity
- Opportunities for professional growth and development
Company HQ
Villette, Paris, France
Leadership
Timothee Lacroix
(Co-Founder & CTO)Previously PhD and Software Engineer Intern at Facebook and Visiting Undergraduate at CAlab UCSD
Guillaume Lample
(Co-Founder & Chief Scientist)Research Student and Scientist at Facebook AI and Research Intern at Jane Street Capital
Arthur Mensch
(Co-Founder & CEO)Previously Staff Research Scientist at DeepMind, Post-doc researcher at École normale supérieure, Visiting Researcher at NYU Courant Institute of Mathematical Sciences and PhD Student at Inria
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