Robotics Software Engineer

Job Title: Robotics Software Engineer Location: Cheshire (Onsite) Salary: Up to £85k (DOE)    We’re partnering with an innovative engineering organisation developing next-generation autonomous robotic systems seeking a Robotics Software Engineer to join its growing team. This is an exciting opportunity to work on cutting-edge robotics projects, developing software for autonomous platforms from prototype through to production. You will collaborate closely with software, hardware, mechanical, and AI engineers to deliver robust, real-world solutions.    About the Role: Design, develop, and maintain robotics software using ROS2 Implement sensor fusion algorithms using LiDAR, IMU, and other onboard sensors. Develop path planning and path tracking algorithms. Optimise and test robotics applications on NVIDIA Jetson boards Intrinsic and extrinsic calibration of sensors, cameras, IMUs, and other perception hardware Develop and maintain LiDAR processing pipelines, including filtering, segmentation, obstacle detection, point cloud processing Implement forward and inverse kinematics for robotic platforms and manipulators Debug embedded communication interfaces including UART, Serial, I2C, SPI, CAN Collaborate with multidisciplinary teams to bring robotic systems from prototype to production Test, debug, and validate robotics software in simulation and on real hardware Document system architecture, calibration procedures, test results, and deployment workflows About You: Degree qualified in Robotics, Computer Scient, Electrical / Mechanical Engineering, Mechatronics, or related field Experienced in programming in C++ and/or Python Strong background with ROS2 Hands-on experience with LiDAR and IMU sensor fusion Understanding of path planning and motion control Experience with NVIDIA Jetson platforms Knowledge of robot kinematics including forward and inverse LiDAR data processing and cloud point library experience such as PCL, Open3D Familiarity with intrinsic and extrinsic sensor calibration Experienced with embedded communication protocols including UART, Serial, I2C, SPI, CAN Desirable: Experience with autonomous mobile robots, AMRs, AGVs, drones, or robotic manipulators Familiar with SLAM, localization, mapping, navigation stacks Understanding of simulation and visualisation tools Gazebo, Isaac Sim, Rviz Knowledge of real-time systems and embedded Linux Experience with GPU-based platforms Understanding of control algorithms PID, MPC, Pure Pursuit, Stanley Controller    Please note, we cannot offer sponsorship for this position. If interested, please send over an updated CV