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- Tasks: Develop and maintain cutting-edge autonomy software for real-world robotic systems.
- Company: Join Dexory, a fast-growing robotics company transforming logistics with innovative technology.
- Benefits: Enjoy private healthcare, life insurance, 25 holidays, and fun team events.
- Why this job: Be part of a dynamic team deploying robots that revolutionise warehouse operations.
- Qualifications: Solid understanding of LiDAR SLAM algorithms and experience with ROS 2, C++, and Python.
- Other info: Exciting opportunities for hands-on deployment and career growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
Overview Dexory Wallingford, England, United KingdomAt Dexory, we build, deploy, and operate autonomous robots that transform logistics and warehouse operations. In 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 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 to 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.
Responsibilities Developing and maintaining autonomy software for real-world robotic systemsWorking with ROS 2, using modern C++ (17/20), and PythonDeveloping and maintaining our LiDAR odometryDeveloping and maintaining our LiDAR-based SLAM approachesCollaborating with deployment teams to support complex field operationsOccasionally travel for hands-on deployment support
Qualifications 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 fusionFamiliarity with Open3D or PCL for point cloud processingUnderstanding 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 systemsExperience 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 transformationsAbility to design and validate sensor placement for optimal coverage and robustnessSolid experience with ROS 2, C++, and PythonFamiliarity with Linux, Git, CI/CD, and containerisationWillingness to travel for hands-on deployment (when needed)Strong communication and collaboration skills
Strong Advantage If You Have Expertise in design robotic software at scaleExperience with LiDAR-based segmentation, or other perception pipelinesContributions to open-source robotics projectsParticipation in competitions like RoboCup, Formula Student AI, or DARPA challenges
Benefits Private healthcare via Bupa with 24/7 medical helplineLife insuranceIncome protectionPension: 4+% employee with option to opt into salary exchange, 5% employerEmployee Assistance Programme – mental wellbeing, financial and legal advice/support25 holidays per yearFull meals onsite in WallingfordFun team events on and offsite, snacks of all kinds in the office
AAP/EEO Statement Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.Please note: We are unable to provide sponsorship or relocation for this role.
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Autonomy Engineer (Lidar perception) employer: Dexory
Contact Detail:
Dexory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Autonomy Engineer (Lidar perception)
✨Tip Number 1
Get to know the company inside out! Research Dexory's projects, values, and culture. When you walk into that interview, you want to show them you’re not just another candidate but someone who genuinely cares about their mission.
✨Tip Number 2
Show off your skills! Bring examples of your past work, especially any open-source contributions or projects related to LiDAR and robotics. This is your chance to demonstrate how you can add value to their team.
✨Tip Number 3
Practice makes perfect! Run through common interview questions and prepare your answers. Think about how your experience aligns with the role of an Autonomy Engineer and be ready to discuss it confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Dexory team and ready to dive into the exciting world of robotics.
We think you need these skills to ace Autonomy Engineer (Lidar perception)
Some tips for your application 🫡
Show Your Passion: When you write your application, let us know why you're excited about the role of Autonomy Engineer. Share your enthusiasm for robotics and how you see yourself contributing to our mission at Dexory.
Highlight Relevant Experience: Make sure to mention any past work that aligns with the responsibilities listed in the job description. Whether it's projects involving LiDAR or contributions to open-source, we want to see what you've done!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. A well-structured application makes it easier for us to see your potential.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Dexory
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of LiDAR-based SLAM algorithms and the specific technologies mentioned in the job description. Be ready to discuss your experience with ROS 2, C++, and Python, as well as any relevant projects you've worked on. This will show that you're not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex challenges in past projects. Think about times when you had to optimise sensor fusion or deal with calibration issues. This will demonstrate your ability to think critically and adapt in real-world scenarios, which is crucial for a role focused on autonomy engineering.
✨Communicate Clearly and Collaboratively
Since collaboration is key in this role, practice articulating your thoughts clearly. Be prepared to discuss how you've worked with deployment teams or contributed to open-source projects. Highlighting your communication skills will show that you can work well within a team and contribute positively to the company culture.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their future projects, the challenges they face in scaling their robotics platform, or how they approach innovation. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
