Data Center Hardware Engineer
Mistral AI
Data Center Hardware Engineer
Mistral AI
Open-weight LLMs and enterprise AI deployment
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
You will work every day on the racks that power one of France's largest AI clusters.
Mistral's compute footprint is our single largest investment and the foundation of our AI research and engineering. We're hiring Data Center Hardware Engineers to keep our GPU/CPU clusters healthy, safe and growing — hands-on, in the data center, at the intersection of high-performance computing and physical infrastructure.
You'll join a small, senior team working at a scale few engineers get to experience: GPU-dense racks (H100/H200-class and next-generation platforms), high-speed interconnects, liquid-cooled systems — with new sites under development in France and beyond.
Hardware here is not someone else's problem. As part of a small on-site team, you carry responsibility for it end to end.
Location: On-site at one of our data center in Bessé-sur-Braye, Pays de la Loire.
Diagnose & repair server and cluster hardware: CPUs, memory, drives, NICs, GPUs, PSUs, and interconnect problems (switches, cables, transceivers; Ethernet/InfiniBand).
Intervene safely — power-off/lockout, ESD discipline, pre/post-work checklists, tidy and safe work areas.
Capture everything — photos, serials, test results; open, update and close tickets with notes the next engineer can act on.
Manage parts — receive, label and track inventory; run RMAs and coordinate with vendors.
Help us get better — feed recurring anomalies into monitoring, alerts and SOPs; contribute small scripts (Python/Bash) if you have those skills.
Be a good teammate — clear status updates, honest handovers, and respect for the people depending on the cluster.
Hands-on comfort in data centers or server hardware — you can (or will quickly learn to) work cleanly in racks: rails, cabling, labeling, mounting.
Disciplined and meticulous: checklists aren't bureaucracy to you, they're craftsmanship.
Practical electrical basics: power-off procedures, PPE, short-circuit risk awareness.
Basic Linux (boot checks, logs) — scripting is a plus, not a requirement.
Physically able to work in racks (lift, mount, maneuver) in a data center environment.
Comfortable in a 24/7 operation, including a rotating on-call with emergency response expectations.
Driver's licence (B) for travel between our sites.
Many of our best hardware engineers came from research labs, telecoms, IT services or the military. If you are rigorous, curious and genuinely motivated by hardware at scale, we would be glad to hear from you — we assess demonstrated scope rather than keyword matching.
HPC/AI/cloud production experience at scale; large-fleet server install and maintenance.
Networking fundamentals (Ethernet/InfiniBand) beyond basics.
Vendor/RMA tooling, ticketing (Jira/ServiceNow), inventory systems.
Python/Bash automation for checks, capture, inventory or reporting.
We offer a 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.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
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Open-weight LLMs and enterprise AI deployment
Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.
Explore more opportunities at Mistral AI