Engineering Team Lead, Mistral AI
Fleet Delivery
More information about location
Generative AI model developers
Be an early applicant
Generative AI model developers
501-1000 employees
Be an early applicant
More information about location
501-1000 employees
Company mission
To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.
Role
Who you are
- You have automated bare-metal fleets — you have written the software that turns racks into clusters. If you have done it by hand, you resented it and scripted it
- Hardware fluency: servers, GPUs, NICs, switches, firmware — you can read a parts list and a topology diagram
- 8+ years building backend or infrastructure systems, with at least 2 years leading engineers — real people leadership: you have hired, coached, and grown engineers, not just set technical direction
- Deep Linux: you are comfortable well below the application layer
- You have shipped production systems in Go. Not dabbled. Shipped
- Willing to travel to datacenter sites when the work demands it
- A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside
What the job involves
- A datacenter is not a cloud until software makes it one. You will lead the team that turns arriving hardware into accepted clusters
- Cabling validation, burn-in, firmware, deployment validation, software stack install — all of it automated, none of it click-ops. Your KPI is time to acceptance: the hours between a rack being physically installed and it serving customer workloads. Across the industry that number is measured in weeks. You will drive it toward days, then hours, as we scale toward a gigawatt of compute across Europe
- This is a founding leadership role at the intersection of hardware and software. Early on it is deliberately hands-on: most of your time in the code and the architecture, some of it on datacenter floors, because the automation has to survive contact with the machines it runs on
- But the job is building and leading a team from day one — hiring your first engineers, coaching them, setting their growth paths, and running the rituals that keep quality high. As the team grows, the balance shifts toward people leadership, and you decide how fast. You shape this new team's charter and set the standard for how every future Mistral datacenter comes online
- Build the delivery pipeline in Go: provisioning, configuration, validation, burn-in, network bring-up, software stack install
- Build the team from scratch: make the first hires, onboard and coach them, own their performance and growth paths — and set the tooling standards and the playbook every future site reuses
- Own time-to-acceptance and drive it down relentlessly — measure it, break it down, kill the slowest step first
- Work shoulder-to-shoulder with Hardware Design and Fleet Health — reliability starts at delivery
- Handle GPU fleets at scale: H100 and GB200-class nodes, InfiniBand and RoCE fabrics, and the failure modes they bring
- Partner with Product Managers and the datacenter org to plan delivery waves against capacity commitments
Salary benchmarks
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
$1.9bn
SERIES C
Jun 2024
$532.5m
SERIES B
Total funding: $3.0bn
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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