Software Developer AI-based Image Processing

We are looking for you to strengthen our team as a software developer for AI-based image processing, using modern AI methods for visual perception and scene interpretation to significantly advance the autonomous operation of unmanned aerial systems. You will build high-performance, real-time systems for automatic detection, identification and tracking of objects and targets.

• Development, training and optimization of AI models for object detection, classification and target tracking, e.g. CNNs, transformer architectures
• Integration of image processing modules into embedded and real-time systems, e.g. on GPU/SoC platforms such as NVIDIA Jetson
• Development of algorithms for sensor fusion and target tracking, e.g. multi-object tracking, Kalman filter
• Creation of datasets, annotation and data management for training and testing purposes
• Carrying out simulations, offline analyses and flight tests
• Collaboration with teams in Flight Controlling, Visual-Based Navigation, Systems Engineering, mission planning and system integration
• Ensuring traceability, robustness and performance of the developed systems

• Completed degree in computer science, data science, electrical engineering, robotics or similar
• Sound knowledge of machine learning, deep learning or computer vision
• Experience with frameworks such as PyTorch, TensorFlow, ONNX or OpenVINO
• Knowledge of developing and optimizing neural networks for embedded and edge devices
• Experience in C++/Python and integrating AI algorithms into real-time systems
• Knowledge of tracking, detection and classification algorithms (e.g. YOLO, SORT, DeepSORT, Vision Transformers)
• Experience with image sensors, gimbals and optical tracking systems
• Basic knowledge of PX4, ROS 2 or MAVLink is an advantage
• Analytical thinking and interest in AI-based signal processing
• Strong problem-solving skills and creativity in developing new approaches
• Independent, structured and goal-oriented way of working
• Teamwork skills and enjoyment of interdisciplinary collaboration
• Quality awareness and sense of responsibility for safety-critical applications
• Openness to new technologies and continuous learning
• Good German and English skills, spoken and written.