frameworks like TensorFlow, PyTorch, or similar tools. Strong background in embedded systems and experience integrating computer vision algorithms into hardware platforms. In-depth knowledge of various sensors, including cameras, LIDAR, and RADAR, and their application in autonomous systems. A collaborative team player with a proven ability to mentor junior engineers and tackle challenging technical problems. Must be commutable or willing More ❯
C++ and Python on Linux including documentation and test coverage. Additional experience with embedded Linux systems (x86) would be desirable. Experience with UxV domains (MAVLink, autopilot systems), sensor integration (LiDAR, radar), ROS/ROS2 for robotic control, airspace test operations would be advantageous. Due to the nature of projects, interested applicants must be UK based and eligible for SC. Preference More ❯
and hardware control systems for UAV, UXV, autonomous driving or aerospace applications Working knowledge of C/C++ Experience working with ROS or robotics sensors (IMU, GPS/GNSS, LIDAR, RADAR, Cameras, etc.) Experience with model-based design and modelling tools such as UML and/or SysML Understanding of state-space control and advanced controller architectures (robust control etc. More ❯
UML, SysML), embedded software systems, and simulation of complex dynamic systems. Autonomous Systems & Robotics: Experience with UAVs, UXVs, PNT systems, flight controllers, and robotics sensors (IMU, GPS/GNSS, LIDAR, RADAR, Cameras). Industry & Work Environment: Background in defence/aerospace, start-ups, or small teams requiring adaptability and problem-solving. What's Next? Excited to join us? Apply now More ❯
