Data Center Hardware Engineer

Mistral AI is hiring a Data Center Hardware Engineer in Paris, France. Level rates it ; you can apply on Level.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
Tools and skills the posting cites include Python, Bash and Infiniband.
Level files it as a mid-level role.
Level lists 218 other open roles at Mistral AI.

AI in this role

Maintains, diagnoses, and repairs physical hardware and GPU clusters powering large-scale AI infrastructure.

pythonbashinfiniband

ai-research

About Mistral

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.

The mission

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 (L1-L3) 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 centers in the Paris region

What you'll do

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.

About you

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.

Even if you don't match every criterion

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.

Nice to have

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.

What We Offer

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.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

How we rate this

Data Center Hardware Engineer at Mistral AI rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Data Center Hardware Engineer is an open job at Mistral AI.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Paris.
The job was posted on July 10, 2026.
Seniority: mid.
Applications are handled by Mistral AI. Apply on Mistral AI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ResearchPythonBashInfiniband

Questions you could be asked

Tell me about a research question you investigated. What did you find?
Walk me through how you've used Python in your day-to-day work.
What are the limits of Bash that you've run into, and how did you work around them?
What's a project where you used Infiniband hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: AI Research, Python, Bash, and Infiniband. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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