UAS Autonomous Navigation and Control Engineer

We are looking for an Autonomous Navigation and Control Engineer to develop and improve guidance, navigation and flight-control capabilities for unmanned aerial systems. This is an engineering role focused on autonomous flight algorithms, control systems and autopilot integration. It is not a manual drone-piloting position. Responsibilities Design, implement and tune flight-control algorithms, including attitude, rate, altitude, position, velocity and trajectory controllers; Develop guidance and autonomous navigation functions such as waypoint navigation, path following, trajectory tracking, return-to-home and autonomous take-off and landing; Work with PID and cascaded control architectures, feedforward control, gain scheduling and other modern control techniques; Develop or integrate state-estimation and sensor-fusion algorithms using IMU, GNSS, magnetometer, barometer, optical-flow, camera, LiDAR or similar sensors; Integrate algorithms with flight controller platforms such as ArduPilot, PX4 or custom flight-control systems; Analyse flight logs, diagnose control or estimation problems and optimise system performance; Validate solutions through simulation, Software-in-the-Loop, Hardware-in-the-Loop and flight testing; Develop fail-safe and degraded-mode behaviours for sensor failures, GNSS loss, communication loss and other abnormal conditions; Collaborate with embedded software, perception, hardware, systems and operations teams. Profile Master’s degree in Aerospace Engineering, Robotics, Electrical and Computer Engineering, Control Systems or a related field; Strong knowledge of control theory, aircraft or rigid-body dynamics and autonomous navigation; Practical experience developing or tuning PID controllers or other control algorithms; Experience with C++, Python or C; Knowledge of state estimation, sensor fusion and Kalman filtering; Experience with UAV autopilots, MAVLink, ROS/ROS 2 or embedded computing platforms; Familiarity with simulation tools such as Gazebo, ArduPilot SITL or PX4 SITL; Ability to analyse telemetry and flight data and participate in field-testing activities. Valued Experience Experience in one or more of the following areas will be considered an advantage: Fixed-wing, multirotor or VTOL control; Model Predictive Control, LQR or nonlinear control; Trajectory planning and optimisation; Real-time or safety-critical embedded systems. We are looking for someone with a practical, analytical and safety-conscious engineering mindset, capable of taking autonomous flight functions from simulation to real-world flight validation. Benefits and Career Opportunities Join a multidisciplinary and innovative team; Gross monthly salary ranging from 1.400€ to 1.700€, depending on experience; Meal allowance of €10.20 per working day (paid via meal card); Health insurance (Fidelidade); Join a multidisciplinary and innovative team; Stable employment contract (permanent contract); Opportunities for professional growth and career development in a relaxed, collaborative environment with a strong culture of continuous learning. We Value Diversity We promote equal opportunities and diversity and encourage all qualified candidates to submit their applications.