---
title: 'Design & Reliability Engineering Manager at Mistral'
canonical: 'https://feeny.ai/job/design-reliability-engineering-manager-mistral-paris-cdpgv7vmzjyr'
type: 'job'
last_seen: '2026-11-08'
---

# Design & Reliability Engineering Manager at Mistral

- **Company:** [Mistral](https://feeny.ai/companies/mistral)
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-20
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.ashbyhq.com/mistral.ai/acb82c21-3e1d-499e-8c62-36bbd11bb6c4

## Job description

## 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.

## Our mission

Shape the engineering foundations of Mistral AI’s next generation of compute capacity while improving the resilience of the infrastructure already in service. This role combines technical design leadership with field reliability engineering: you will establish demanding, practical requirements for colocation power and cooling, scrutinize proposed solutions and turn operating experience into better designs, safer changes and more reliable AI capacity.

Operating context & accountability

Mistral deploys high-density AI infrastructure in colocation facilities, where partners operate the underlying critical plant. You will be Mistral’s technical counterpart to providers, designers, commissioning specialists and internal IT and capacity teams. The position combines forward-looking design authority with hands-on technical investigation and portfolio reliability improvement. It requires depth in one core engineering discipline and the judgment to lead multidisciplinary decisions with specialist support.

## Key responsibilities — design and technical standards

- Own and continuously improve Mistral’s technical design criteria and colocation requirements for new facilities, expansions and retrofits, including availability objectives, failure domains, maintainability and operational flexibility.
- Translate GPU platform roadmaps into measurable facility envelopes: IT load and transients, rack density, electrical topology, redundancy, cooling capacity, supply/return temperatures, flow, pressure, water quality and monitoring.
- Review utility and MV/LV arrangements, transformers, generators, UPS, switchgear, busway, protection coordination, earthing, power quality and metering for suitability under demanding AI loads.
- Review mechanical and controls architecture, including chilled-water and heat-rejection systems, pumps, control sequences, CDU integration, leak detection, filtration, water treatment and cooling recovery scenarios.
- Lead multidisciplinary reviews of single-line diagrams, P&IDs, sequences of operation, design calculations, capacity models, failure-mode studies and proposed deviations; document risks and decisions.
- Participate in site selection, technical due diligence, provider RFPs, design milestones and commercial technical schedules, challenging assumptions before they become delivery constraints.
- Define design review and exception processes that balance performance, resilience, deployment speed, efficiency, capital cost and long-term operability.

## Key responsibilities — commissioning and delivery assurance

- Partner with delivery and commissioning teams to define functional and integrated testing requirements, acceptance criteria, evidence packages and outstanding-defect management.
- Validate that electrical and cooling infrastructure can support the contracted AI load envelope under normal, maintenance and credible fault conditions.
- Review test scripts and results for loss of utility, UPS/generator transitions, cooling component failures, controls faults, CDU interface events and staged restoration where applicable.
- Ensure operational handover includes accurate drawings, asset and interface registers, monitoring points, setpoints, maintenance constraints, emergency procedures and unresolved risk ownership.
- Support live-site changes and capacity upgrades with a disciplined review of impact, sequencing, rollback plans and operational readiness.

Key responsibilities — field reliability and root-cause analysis

- Act as a technical escalation point for recurring or high-impact electrical, mechanical and controls incidents across operational colocation sites.
- Analyze alarms, BMS/EPMS trends, event sequences, power-quality records, cooling telemetry, commissioning findings and maintenance evidence to distinguish symptoms from systemic causes.
- Lead or challenge technical root-cause investigations with colocation partners, including common-mode failures, protection miscoordination, thermal instability, control logic, hydraulic performance and hidden capacity limitations.
- Develop risk-ranked corrective actions and reliability improvement programs; validate effectiveness through evidence and post-change monitoring.
- Identify fleet-wide patterns and feed lessons learned into reference designs, acceptance tests, technical specifications and provider governance.
- Review maintenance and change proposals that create material exposure to compute availability, providing clear technical recommendations and escalation where required.

## Key responsibilities — collaboration and leadership

- Work with IT hardware, network and platform teams to understand the operational consequences of rack-level and cluster-level failure domains.
- Influence colocation providers, consultants and OEM partners through technically rigorous, fact-based reviews without relying on direct operational authority.
- Present design trade-offs, reliability risks and investment recommendations in language accessible to engineering leadership and business stakeholders.
- Develop reusable standards, technical playbooks and engineering knowledge sharing to support consistent decisions across a rapidly expanding portfolio.

What success looks like

- New capacity is accepted against well-defined electrical, thermal and resilience criteria with transparent technical exceptions.
- Design risks are identified early, reducing late changes, stranded capacity and avoidable operational constraints.
- Repeat incidents and unresolved critical engineering defects decrease as corrective actions are verified.
- Field experience produces measurable improvements to future designs and live-site operating resilience.

## Minimum qualifications

- At least 8 years in mission-critical data center design, engineering, commissioning or technical reliability, including responsibility for complex technical decisions.
- Degree in electrical or mechanical engineering, or equivalent professional experience, with deep knowledge in one discipline and strong working knowledge of the other.
- Demonstrated expertise in critical power and cooling architecture, redundancy, failure-mode analysis and operational risk management.
- Experience reviewing engineering drawings, calculations, commissioning evidence and root-cause analyses, and coordinating technical specialists.
- Ability to influence colocation providers and cross-functional stakeholders; excellent English communication and willingness to travel.

## Preferred qualifications

- Experience with AI/HPC infrastructure, high-density accelerator platforms and direct-to-chip liquid cooling.
- Knowledge of CDUs, facility-to-technology cooling interfaces, hydraulic performance, cooling-water quality and leak management.
- Experience with electrical protection/selectivity, power quality, controls sequences, integrated systems testing and BMS/EPMS analytics.
- Experience creating technical standards across multiple sites or providers, including design deviations and fleet-wide reliability improvements.
- Professional engineering registration or equivalent technical credentials.

## 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](https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link).

Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our [Applicant Privacy Policy](https://legal.mistral.ai/terms/applicant-privacy-policy).

## About Mistral

## Company Overview
- **One-liner**: Mistral is a French AI company building open, frontier-grade large language models, developer platforms, and applied AI solutions for enterprises and governments.
- **Entity Type**: Private (Series C)
- **Headquarters**: Paris, France (15 rue des Halles)
- **Founded**: April 2023
- **Founders**: Arthur Mensch (CEO), Guillaume Lample (Chief Science Officer), Timothée Lacroix (CTO)

## Core Business
- **Primary industry/industries**: Artificial Intelligence, Large Language Models, Enterprise AI Software
- **Target customers**: B2B, Enterprise, Government, and Developers (B2D)
- **Mission or purpose statement**: "To make frontier AI open to all, and together solve the world's hardest problems."

## Products & Services
- **Mistral Large**: Frontier-grade large language model for complex reasoning and enterprise tasks.
- **Mistral Small 3**: Efficient, lightweight model for cost-sensitive deployments.
- **Mistral Code / Vibe**: AI agent for long-horizon, autonomous software development and task completion.
- **Le Chat**: Consumer-facing AI assistant and chatbot.
- **Mistral OCR 4**: State-of-the-art document intelligence model for extracting and understanding text from images and PDFs.
- **Mistral Forge**: Custom model development service for training, aligning, and evaluating proprietary AI models on private data.
- **Mistral Studio**: Platform for building, testing, and running AI agents and applications with full control.
- **Mistral Compute**: Infrastructure and orchestration platform for frontier-scale training and inference (edge to cloud).
- **Mistral Search Toolkit**: Tools for integrating search and retrieval into AI applications.
- **Voxtral**: Voice AI model for speech-based interactions.

## Market Standing
- **Valuation/Market Cap**: $4.016 billion (latest reported valuation, per CB Insights; date not specified but likely post-Series C)
- **Key Metric**: Total funding raised across Seed, Series A, Series B, and Series C rounds (specific amounts not disclosed in search results).
- **Notable Investors/Partners**: Not explicitly named in search results, but the company partners with organizations in finance, manufacturing, defense, energy, and the public sector.
- **Growth Signals**: 
  - Rapid scaling: 900+ employees across 30+ nationalities as of mid-2026.
  - 50% of leadership roles held by women.
  - Key product launches on a near-monthly cadence (e.g., Mistral OCR, Forge, Vibe, Compute, Search Toolkit, Voxtral).
  - Strong presence in high-stakes, regulated industries (defense, energy, public sector).

## Competitive Advantages
- **Open-source DNA**: Commitment to openness, transparency, and cost efficiency differentiates Mistral from closed, Big Tech AI labs.
- **Full-stack ownership**: Controls the entire stack from frontier models to developer tools, applications, and compute infrastructure, enabling deep customization and reliability.
- **European leadership**: Positioned as a sovereign, European AI champion, appealing to governments and enterprises seeking data control and regulatory compliance.
- **Speed and rigor**: Culture of rapid experimentation, iteration, and data-driven decision-making.

## Strategic Focus
- **Enterprise and government partnerships**: Co-creating tailored AI systems for mission-critical use cases in finance, manufacturing, defense, energy, and public sector.
- **Open platform ecosystem**: Expanding Mistral Studio and Forge to enable customers to build custom models and agents on their own data.
- **Infrastructure as a product**: Commercializing Mistral Compute to become a platform for others to train and run AI workloads.
- **Continuous model innovation**: Releasing new frontier models and capabilities (OCR, voice, code agents) at a rapid pace.

## Why Work Here
- **Culture**: Flat structure, high ownership, low ego, and a "builders, not order takers" mentality. The company values audacity, speed, rigor, and customer centricity.
- **Remote/Hybrid/Office**: Based in Paris (15 rue des Halles); relocation support and visa sponsorship offered. Specific remote/hybrid policy not detailed, but global team suggests flexibility.
- **Notable perks and benefits** (from careers page):
  - 20 weeks paid parental leave for all birthing parents.
  - 100% employer-sponsored medical, dental, and vision coverage for employees and dependents.
  - 6% 401k match (US) / 5% pension contribution (UK).
  - Childcare support (reserved daycare seats or financial assistance).
  - Meal allowances and transportation support.
  - Fitness and wellness subsidies.
  - Relocation and settling-in services.
  - Financial and career planning support.
- **Team composition**: 900+ employees from 30+ nationalities; 50% female leaders.
- **Interview process**: For science, product, and engineering roles: intro conversation → 2-5 technical exercises → 1-3 interviews (hiring manager + teammates) → values conversation → reference checks.

## Sources
1. [Mistral AI - About Page](https://mistral.ai/about/)
2. [Mistral AI - Careers Page](https://mistral.ai/careers/)
3. [Mistral AI - Homepage](https://mistral.ai/)
4. [CB Insights - Mistral AI Company Profile](https://www.cbinsights.com/company/mistral-ai)
5. [Mistral AI - LinkedIn](https://www.linkedin.com/company/mistralai)

## Other roles at Mistral

- [AI Scientist Intern - (Internship, Masters or Phd)](https://feeny.ai/job/ai-scientist-intern-internship-masters-or-phd-mistral-paris-43jzbe0kx4mv) — Paris, France
- [Engineering Manager, Serverless Containers](https://feeny.ai/job/engineering-manager-serverless-containers-mistral-paris-m06we4kkhq7s) — Paris, France
- [Engineering Manager, Fleet Delivery](https://feeny.ai/job/engineering-manager-fleet-delivery-mistral-paris-zsspnkk7y0k5) — Paris, France
- [Engineering Manager, Storage](https://feeny.ai/job/engineering-manager-storage-mistral-paris-ekf23bqg33ar) — Paris, France
- [Engineering Manager, Sandbox](https://feeny.ai/job/engineering-manager-sandbox-mistral-paris-5wx65405emb2) — Paris, France
- [Senior Engineering Manager, IaaS](https://feeny.ai/job/senior-engineering-manager-iaas-mistral-paris-n545rbk6r28j) — Paris, France
- [Forward Software Engineer](https://feeny.ai/job/forward-software-engineer-mistral-paris-gp4fe2vxk8pe) — Paris, France
- [Forward Software Engineer, Data](https://feeny.ai/job/forward-software-engineer-data-mistral-paris-5j7fnp825t2q) — Paris, France
- [Network Development Engineer, WAN & Edge](https://feeny.ai/job/network-development-engineer-wan-edge-mistral-paris-bb54t43jf8db) — Paris, France
- [Network Development Engineer, Data Center Fabrics](https://feeny.ai/job/network-development-engineer-data-center-fabrics-mistral-paris-3sgd968rfyhv) — Paris, France