Software Developer Visual Based Navigation

We are looking for you to develop and integrate image-based navigation and localization systems to safely and autonomously control unmanned aerial systems even in GNSS-denied environments or poor visibility conditions.

• Development and implementation of algorithms for image-based navigation, e.g. visual odometry, SLAM and feature tracking
• Integration of visual navigation data with other sensor systems IMU, GPS, LiDAR via sensor fusion, e.g. EKF/UKF, Graph-SLAM
• Design and testing of navigation architectures for autonomous flight missions
• Conducting simulations and flight tests
• Adaptation and extension of existing open-source frameworks, e.g. PX4, ROS 2, OpenVINS, ORB-SLAM
• Collaboration with teams from Flight Control, AI Development and Systems Engineering as well as potentially external partners
• Documentation, code quality assurance and performance optimization

• Completed degree in Computer Science, Electrical Engineering, Robotics, Aerospace Engineering or equivalent
• Sound knowledge of computer vision and image processing (e.g. OpenCV, Eigen, PCL)
• Experience in implementation and optimization of navigation and SLAM methods
• Knowledge of C++/Python, ROS 2 and ideally PX4 or MAVLink
• Experience in sensor data fusion, Kalman filters and non-linear estimation methods
• Knowledge of working with cameras, IMUs and possibly LiDAR systems
• Experience with simulation tools (e.g. Gazebo, AirSim) and HIL tests
• Knowledge of real-time programming and embedded software development is an advantage
• High technical understanding and systemic thinking
• Strong analytical skills and enjoyment of complex algorithm development
• Team player, strong communication skills and interdisciplinary collaboration
• Independent, structured and solution-oriented way of working
• Innovation enthusiasm and interest in autonomous navigation systems
• Sense of responsibility and quality orientation
• Good German and English skills, written and spoken.