Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop cutting-edge LiDAR perception software for autonomous robots in logistics.
- Company: Fast-growing UK robotics company with a startup vibe.
- Benefits: Competitive salary, hands-on experience, and a chance to shape the future of robotics.
- Other info: Work on-site 3 days a week in Oxfordshire with excellent growth opportunities.
- Why this job: Join a dynamic team and make a real impact on autonomous technology.
- Qualifications: Experience with LiDAR SLAM algorithms and robotics software development.
The predicted salary is between 50000 - 70000 £ per year.
Want to build LiDAR perception software that powers a rapidly growing fleet of autonomous robots in real-world logistics environments? A high-growth UK robotics company is scaling fast. They’re operating hundreds of robots in live customer environments and building the autonomy stack that will support thousands more.
They’re hiring an Autonomy Engineer (LiDAR/Perception) to develop and scale the LiDAR-based perception and SLAM systems at the core of a Robot-as-a-Service platform. If you’re excited by the challenge of building reliable, scalable LiDAR perception for real-world autonomous robots - and want to be part of a team moving at startup speed - this is a role worth exploring.
What you’ll be doing:
- Developing and maintaining autonomy software for deployed robotic systems
- Working with ROS2, modern C++ and Python
- Developing and maintaining LiDAR odometry and SLAM approaches
- Collaborating with deployment teams to support complex field operations
- Designing and validating sensor placement for optimal coverage and robustness
What they’re looking for:
- Solid understanding of LiDAR-based SLAM algorithms (e.g. Cartographer, LOAM, LIO-SAM, HDL Graph etc.)
- Experience with pose graph optimisation, scan matching, and sensor fusion
- Familiarity with Open3D or PCL for point cloud processing
- Understanding of state estimation frameworks
- Experience integrating 3D and 2D LiDARs
- Knowledge of LiDAR calibration (IMU, camera, robot base)
- Familiarity with sensor synchronisation, timestamp alignment, and coordinate transformations
- Linux, Git, CI/CD, and containerisation skills
Strong advantage if you have:
- Experience designing robotics software at scale
- LiDAR-based segmentation or other perception pipelines
- Contributions to open-source robotics projects
- Participation in RoboCup, Formula Student AI, DARPA-style competitions
They move fast. Standards are high. Ownership is real. On-site x3 days per week in Oxfordshire. Apply now for immediate consideration.
Lidar/Perception Engineer in Cambridge employer: Lawrence Harvey
Contact Detail:
Lawrence Harvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lidar/Perception Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the robotics and autonomy space, especially those who work with LiDAR and perception. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LiDAR, SLAM, or any relevant software development. This could be anything from GitHub repos to personal blogs explaining your work. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of algorithms and frameworks mentioned in the job description. Practice coding challenges and be ready to discuss your past experiences with ROS2, C++, and Python. We want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the quickest way to get your application in front of the right people. Plus, it shows you’re genuinely interested in being part of our team. Don’t forget to tailor your application to highlight your experience with LiDAR and robotics!
We think you need these skills to ace Lidar/Perception Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Autonomy Engineer. Highlight your experience with LiDAR, SLAM algorithms, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any personal or professional projects that demonstrate your expertise in robotics and perception systems. If you've contributed to open-source projects or participated in competitions, let us know! This shows your passion and hands-on experience.
Craft a Compelling Cover Letter: Your cover letter should reflect your enthusiasm for the role and the company. Share why you're excited about building LiDAR perception software and how you can contribute to our team. We love seeing genuine interest!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures your details are in the right place. Plus, it shows you're keen to join our team!
How to prepare for a job interview at Lawrence Harvey
✨Know Your LiDAR Inside Out
Make sure you brush up on your understanding of LiDAR-based SLAM algorithms like Cartographer and LOAM. Be ready to discuss how you've applied these in past projects, as well as any challenges you faced and how you overcame them.
✨Show Off Your Coding Skills
Since the role involves working with modern C++ and Python, be prepared to demonstrate your coding abilities. You might want to practice coding problems related to sensor fusion or pose graph optimisation, as these could come up during technical discussions.
✨Familiarise Yourself with ROS2
As this position requires experience with ROS2, make sure you can talk about your previous work with it. If you have examples of how you've used ROS2 in real-world applications, share those stories to highlight your practical experience.
✨Prepare for Collaboration Questions
Given that collaboration with deployment teams is key, think of examples where you've worked in a team to solve complex problems. Be ready to discuss how you communicate and coordinate with others, especially in high-pressure situations.