Flight Automation Software Engineer

About the role:

• Permanent position
• Work location: Munich (hybrid)

As a Flight Automation Software Engineer, you will design and implement high-level autonomy functions for UAVs. You will develop software that allows drones to perceive, interpret, and navigate complex environments autonomously. Working closely with our System Architects and Flight Control Engineers, you will play a key role in driving the next phase of growth and innovation

Your responsibilities:

• Design, implement and integrate cutting-edge autonomy features for UAVs, both in simulation and on-board systems
• Develop robust perception capabilities, including sensor fusion, object detection, recognition, tracking, landing site identification, and feature-based navigation.
• Create efficient algorithms for trajectory planning, path following, and dynamic obstacle avoidance
• Optimize and deploy computer vision models on embedded GPU platforms (NVIDIA Jetson, TensorRT, CUDA)
• Collaborate closely with flight control and systems engineers, selecting the right sensors, computers, and peripherals to integrate autonomy software seamlessly into UAV platforms
• Contribute to the continuous improvement of software architecture, coding standards, and testing frameworks

Your profile:

• Master's degree in aerospace engineering, Robotics, Computer Science, Electrical Engineering, or a comparable field
• 4+ years of hands-on experience in autonomy, perception, or unmanned systems development
• Strong programming skills in C++ and Python, with hands-on experience developing embedded and real-time software on RTOS or Linux-based platforms
• Solid knowledge and practical experience in UAV autonomy, including computer vision, sensor fusion, guidance & control, feature-based navigation and trajectory planning
• Familiarity with simulation and modeling environments, including Matlab/Simulink, Gazebo, or ROS/ROS2 for algorithm development and testing
• Experience with vision-based object detection and tracking; GPU-accelerated deep learning (CUDA, TensorRT, cuDNN) is a plus
• Familiarity with robotics fundamentals and aviation safety standards (e.g., ARP4754A, ARP4761, DO-178C) is a plus
• Independent, proactive, and technically curious, comfortable navigating ambiguity and taking ownership of complex problems
• Strong communication skills and fluency in English