Robotics Software Engineer

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

Do you have experience in Python?, * 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