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