Autonomy Engineer

We're looking for autonomous engineer. Our client's company focuses on operating autonomous robots for warehouse and logistics operations. They're scaling up quite fast with the aim to build a scalable, reliable robotics. Responsibilities Developing and maintaining autonomy software for real world robotic systems Working with ROS 2, using modern C++ (17/20), and Python Developing and maintaining our lidar odometry Developing and maintaining our lidar based SLAM approaches Collaborating with deployment teams to support complex field operations Occasionally travel for hands on deployment support Requirements : Solid understanding of LiDAR based SLAM algorithms (e.g., Cartographer, LOAM, LIO SAM, HDL Graph SLAM, etc.) Experience with pose graph optimization, scan matching, and sensor fusion Familiarity with Open3D or PCL for point cloud processing. Understanding of state estimation frameworks (e.g., EKF, UKF, graph based methods, or factor graphs). Evidence of past work: open source contributions, competition results, or deployed systems Experience integrating 3D and 2D LiDARs (Ouster, Velodyne, Hesai, Livox, SICK, etc.). Knowledge of calibration (LiDAR IMU, LiDAR camera, LiDAR robot base). Understanding of sensor synchronization, timestamp alignment, and coordinate transformations. Ability to design and validate sensor placement for optimal coverage and robustness.

Solid experience with ROS 2, C++, and Python Familiarity with Linux, Git, CI/CD, and containerisation Willingness to travel for hands on deployment (when needed) Strong communication and collaboration skills You will also receive: Private healthcare via Bupa with 24/7 medical helpline Life insurance Income protection Pension: 4+% employee with option to opt into salary exchange, 5% employer Employee Assistance Programme - mental wellbeing, financial and legal advice/support 25 holidays per year Full meals onsite in Wallingford Fun team events on and offsite, snacks of all kinds in the office