---
title: 'Network Development Engineer, Data Center Fabrics at Mistral'
canonical: 'https://feeny.ai/job/network-development-engineer-data-center-fabrics-mistral-paris-3sgd968rfyhv'
type: 'job'
last_seen: '2026-11-08'
---

# Network Development Engineer, Data Center Fabrics at Mistral

- **Company:** [Mistral](https://feeny.ai/companies/mistral)
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-11-06
- **Last confirmed live:** 2026-11-08
- **Apply:** https://jobs.ashbyhq.com/mistral.ai/5fd0c5bf-92b0-4f46-bf81-23276a63bcfd

## 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.

## The Role

As a Network Development Engineer, Data Center Fabrics, you will help design and build systems for operating large-scale networks within our data centers. You will apply deep networking expertise to leaf-spine architecture, automation, testing, and production troubleshooting across Ethernet switching, IP routing, BGP, EVPN/VXLAN, and VRFs. This is a hands-on role for a networking expert who is also comfortable building production software. Go and Kubernetes experience are helpful but not required; strong engineering fundamentals and network automation experience matter more.

## What You Will Do

- Design and evolve leaf-spine underlays, EVPN/VXLAN overlays, and tenant connectivity for multi-tenant AI infrastructure.
- Translate data-center fabric requirements and safety properties into clear APIs, data models, validation, and automation.
- Build reliable control-plane software that reconciles desired and observed network state.
- Design safe change workflows with validation, dry runs, atomic updates, observability, and failure recovery.
- Integrate with data-center switch operating systems and management APIs while maintaining vendor-neutral abstractions where practical.
- Participate in the on-call rotation, troubleshoot active data-center network incidents, restore service, and turn root causes into lasting improvements.
- Review designs and code, explain networking trade-offs, and help raise network engineering quality across the organization.
- Develop lab and production tests and turn operational lessons into better software and architecture.

## What We’re Looking For

- Deep hands-on experience with Ethernet switching, IP routing, BGP-based leaf-spine fabrics, EVPN/VXLAN, and VRF-based multitenancy.
- Strong judgment around fabric underlay and overlay design, scale, convergence, isolation, and failure modes.
- Experience building or operating production network automation, including desired state, idempotency, concurrency, observability, and recovery.
- Strong software-engineering fundamentals in a general-purpose language. You can design, test, debug, and review production systems and are willing to become productive in Go.
- Experience with southbound network APIs and structured configuration, such as REST, gNMI/OpenConfig, or NETCONF.
- Hands-on experience with major data-center network operating systems, such as Cumulus Linux, Arista EOS, SONiC, Junos, or NX-OS.
- Strong diagnostic skills using routing and EVPN state, packet captures, counters, telemetry, and logs.
- Clear, pragmatic communication and a collaborative approach to technical leadership.

## Nice to Have

- Experience reading, reviewing, or contributing to Go code.
- Familiarity with Kubernetes controllers, operators, CRDs, reconciliation, or Kubebuilder.
- Experience with physical or simulated network labs such as containerlab, NVIDIA Air, EVE-NG, GNS3, or similar environments.
- Experience with high-performance Ethernet, RoCE, InfiniBand, HPC, or large-scale GPU infrastructure.

## 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
- [Robotics Operations Specialist](https://feeny.ai/job/robotics-operations-specialist-mistral-paris-vfvdqhhr93t4) — Paris, France