As a GNC Engineer on the UAV team, you will design and develop advanced guidance, navigation, and control solutions for autonomous UAVs. You will integrate sensor data, develop control laws and flight trajectories, and take your work from simulation to embedded implementation and 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, localisation, 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

Nice to have

Bonus: FPV pilot hobbyist