6 of 6 Lidar Jobs in the South East

from concept through testing, validation, and deployment Strong Python and C++ programming skills Experience with OpenCV, PyTorch, TensorFlow, or similar frameworks Knowledge of camera, LiDAR, or multi-sensor perception systems Experience with software testing, integration, and Git-based development workflows Experience in robotics, autonomous systems, embedded software, or safety-critical ...

Python, C/C++, or MATLAB Experience with frameworks such as OpenCV, TensorFlow, PyTorch, or similar computer vision toolkits Knowledge of camera systems, LiDAR, and perception sensor technologies Experience with software testing, integration, and version control tools such as Git Knowledge of robotics, autonomous systems, sensor fusion, or spacecraft systems ...

modular design, debugging, testing) STEM degree or equivalent (robotics, computer science, engineering, or related) Desirable: ROS 2, embedded systems, hardware drivers Sensors (cameras, IMUs, LiDAR), CAN protocols, Docker Apply today with an up to date CV to be considered for this exciting new Robotics Software Engineer role. ...

businesses, scale-ups or technology companies. Experience in any of the following would be an added bonus, but isn't essential: Computer vision hardware, LiDAR, GPS or advanced sensor integration. Industrial or consumer product development. PCB design tools such as Altium, KiCad or Eagle. Team leadership or mentoring. Using ...

serial, Ethernet) and working with technical/system/wiring diagrams.Experience integrating and testing UAS payloads and sensors (EO/IR/EW/LIDAR etc.) and comms/RC/datalink systems, including RF cabling.Control, Navigation and A-PNT Expertise:Demonstrable experience with A-PNT sensor sources for stabilisation ...

agile development and release process What you will Bring Deep technical proficiency in improving the quality of remotely sensed 2D & 3D datasets (imagery, LiDAR) and geospatial data at scale Thorough understanding and practical experience implementing workflow tools and/or frameworks to monitor quality across the data production lifecycle (e.g. ...