Autonomy 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 lidar odometry.
• Developing and maintaining 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.

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