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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.
Job Responsibility:
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
Nice to 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
What we offer:
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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