Back to jobs
Logo of Alta Ares
Alta Ares
Actively hiring

GNC Engineer H/F

Workplace
On-site
Commitment
Full-time
Seniority
Mid-Level
Posted
Location
Paris, France

En tant qu'ingénieur GNC, vous développerez les capacités de guidage, navigation et contrôle des plateformes autonomes d'Alta Ares. Vous contribuerez à l'ensemble du cycle de développement, de l'architecture système à la modélisation de vol, en passant par les essais en vol et la validation opérationnelle. Vous travaillerez en étroite collaboration avec les équipes logicielles, IA, systèmes, pilotes d'essai et opérateurs pour garantir que les algorithmes fonctionnent dans des conditions réelles.

Responsibilities

  • Design, develop, and improve guidance, navigation, and control algorithms for autonomous aerial systems.
  • Develop and maintain flight dynamics and vehicle models.
  • Contribute to system architecture, control strategies, and performance trade-offs from the earliest design phases.
  • Integrate and tune GNC software on target platforms.
  • Participate in flight-test campaigns and operational demonstrations.
  • Analyze flight data, investigate anomalies, and continuously improve system performance.
  • Work closely with software, AI, systems engineers, test pilots, and operators to validate solutions in real operational conditions.

Requirements

  • Minimum 3 years of professional experience in Guidance, Navigation & Control, flight control, robotics, or autonomous systems.
  • Solid experience in algorithm development with two or more:
  • MATLAB & Simulink
  • Python
  • C/C++
  • Great systems engineering skills. Prior experience with aerospace V&V processes.
  • Motivation to participate in field testing and work directly on deployed systems.
  • Strong analytical skills, engineering rigor, and ability to work autonomously in a fast-paced environment.

Nice to have

  • Embedded software development experience.
  • Experience with open source flight control software stacks.
  • Programming skills in C++ and Python.
  • Experience with UAVs, robotics, or autonomous systems.
  • Familiarity with ROS/ROS2 or real-time embedded systems.
  • Experience with state estimation, sensor fusion, or navigation algorithms.