Robotics Software Engineer

Job Title: Robotics Software Engineer Location: Cheshire (Onsite) Salary: Up to £95k (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.