Autonomy Engineer (Lidar perception)

At Dexory, we build, deploy, and operate autonomous robots that transform logistics and warehouse operations. In just six months, we went from the first CAD model to a deployed robot at a customer site in May 2023. Two years later, we’ve built and deployed over 150 robots, grown from a team of 10 to more than 250 people, and continue to scale at startup speed. Our ambition now is to scale our robotics and autonomy stack to hundreds, soon thousands, of robots operating in dynamic, real-world environments. As a Robotics Engineer at Dexory, you’ll help us make that possible: designing systems that can be deployed every two weeks to our global fleet, with zero manual customisation. The challenge is immense: how do you build a scalable, reliable robotics core that powers a rapidly growing Robot-as-a-Service platform? If solving that at speed excites you, you’ll feel right at home here. When you apply, provide a few sentences why you think you’re the right person for this role. *We value the right attitude, humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives innovation and we offer an international and friendly work environment with an energetic company culture. What does this role involve? 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 (we need a few) 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 Strong Advantage If You Have Expertise in design robotic software at scale Experience with Lidar-based segmentation, or other perception pipelines Contributions to open-source robotics projects Participation in competitions like RoboCup, Formula Student AI, or DARPA challenges Benefits Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles: Performance: High standards, outstanding results, Impact: Big challenges, bigger results Commitment: All in, every time One team: One mission, shared success Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world-changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision. 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 AAP/EEO Sta