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Beyond Vision seeks an Autonomous Navigation and Control Engineer in Lisbon, Portugal to develop and improve guidance, navigation and flight-control for unmanned aerial systems. This role focuses on autonomous flight algorithms, control systems and autopilot integration rather than piloting.
You will design and tune flight-control algorithms, develop guidance and state estimation, and validate solutions through SITL and flight testing, collaborating with software, hardware and operations teams.
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.
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.
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.
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.
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 promote equal opportunities and diversity and encourage all qualified candidates to submit their applications.