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Harmattan AI développe des systèmes autonomes et des logiciels de gestion de missions pour la défense. Ses clients comprennent des forces armées et des industriels, qui les utilisent pour l’ISR, l’interception de drones et la guerre électronique.

Repères sur Harmattan AI
Modèle
B2B
Type d’entreprise
Financée par du capital-risque
Stade
Licorne
Siège
Paris
Domaine officiel
harmattan.ai
Création
2024 · 2 ans
Effectif public
226 employés
Dernière levée
Series B · 2026-01-12
Montant annoncé
200 000 000 $
Offres ouvertes
107

Investisseurs mentionnés

Détails de l’offre

La description complète publiée par Harmattan AI.

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About us

Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.

About the role

As a GNC Engineer on the UAV team, you’ll design and develop advanced guidance, navigation, and control (GNC) solutions. From integrating and fusing sensor data to developing control laws and flight trajectories, you'll take your work from simulation to embedded implementation and ultimately to live flight testing.

Responsibilities

Develop state-of-the-art navigation and sensor fusion algorithms for UAVs

  • Design and implement GNC and flight control systems
  • Build filtering and estimation strategies for robust and efficient flight performance
  • Run extensive simulations (Monte Carlo, SITL, HITL) and coverage testing
  • Analyze test flight data and refine algorithmic performance
  • Support full-stack system integration: GNSS, INS/IMU, localization, and fusion
  • Maintain and evolve a flight-proven flight computer across multiple UAV platforms

Requirements

Education : Engineering school or master's degree in computer science, engineering, or a related technical field

  • 3+ years of experience in aerospace GNC systems
  • Strong foundations in control theory, estimation, and sensor integration
  • Proficient in Python and embedded C/C++
  • Experience with simulation tools (e.g., Gazebo) and version control (Git)
  • Familiarity with open-source autopilots (PX4, Ardupilot, Betaflight, etc.)
  • Hands-on electronics and integration skills: debugging, soldering, harnessing
  • Bonus: FPV pilot hobbyist We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

Prérequis

  • Strong foundations in control theory, estimation, and sensor integration
  • Hands-on electronics and integration skills: debugging, soldering, harnessing
  • FPV pilot hobbyist