Mistral AIData Center Hardware Engineer
Mistral AI is hiring a Data Center Hardware Engineer. Level rates it ; you can apply on Mistral AI.
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 classifies it as a senior role.
- Level lists 222 other open roles at Mistral AI.
- The role was posted within the past week.
AI in this role
Maintain and repair server hardware and GPU-dense racks powering Mistral's AI clusters in Sweden.
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 Sweden'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 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 (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 our data center in Dalarna 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 around you.
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.
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. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where hardware troubleshooting was part of your work. What did you do?
- Tell me about a project where server repair was part of your work. What did you do?
- Tell me about a project where data center operations was part of your work. What did you do?
- Tell me about a project where gpu maintenance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Research, Hardware Troubleshooting, Server Repair, Data Center Operations, and GPU Maintenance. 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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