Searchability
Mapping Engineer
(LiDAR / SLAM) Early-Stage Autonomous Vehicle Company
KEY POINTS
- Hybrid role, 3 days a week in Paddington, London
- Build the LiDAR and vision mapping stack for real world industrial autonomy
- Open to all levels, from graduate through to lead, with the role shaped around you
- Work across perception, localization and navigation in a small, high-impact team
- Core stack is C++, ROS2 and robotics fundamentals
- Salary up to £95,000 depending on experience
ABOUT THE CLIENT
We are supporting an early-stage autonomous vehicle company building robotics software and hardware platforms for industrial environments. The business is small, ambitious and moving quickly, building the mapping and autonomy stack that underpins how their vehicles perceive and move through the world.
This is an environment where engineers have genuine ownership and real influence on technical direction from day one. Because the role is open from graduate to lead, it will be shaped around the right person, whether you are early in your career with strong fundamentals and a genuine passion for autonomy, or an experienced engineer ready to own and lead the map stack.
THE ROLE, MAPPING ENGINEER
You will help develop the LiDAR and vision based mapping pipelines used across perception, localization and navigation. You will work with multi sensor data and large scale mapping systems, turning real world sensor inputs into accurate, reliable maps that the autonomy stack depends on.
This is a hands-on role with the autonomy to own what you build, from design through to deployment and iteration.
KEY RESPONSIBILITIES
- Develop and improve LiDAR and vision based mapping pipelines
- Build 2D and 3D map representations, including occupancy grids and HD maps
- Work with multi sensor fusion (LiDAR, cameras, GNSS/INS, odometry)
- Integrate mapping with SLAM and localization systems for stable, drift free operation
- Contribute to large scale mapping, including multi session and fleet ready workflows
- Own your work end to end, collaborating closely with perception and localization engineers
ESSENTIAL EXPERIENCE
- A foundation in robotics fundamentals: estimation, geometry, transforms (TF2)
- Exposure to C++ and ROS2, or the ability and drive to get there quickly
- An understanding of LiDAR, point cloud or vision based mapping, whether from study, research, Formula Student, or professional work
- For more experienced candidates, hands-on large scale mapping and the ability to lead and shape the map stack
- A genuine passion for autonomy and a builder mindset
DESIRABLE SKILLS
- LiDAR and point cloud processing (PCL, Open3D)
- Vision based mapping (stereo or mono reconstruction, visual SLAM)
- Multi sensor fusion pipelines
- Knowledge of semantic mapping or ML based scene understanding
- Familiarity with real time systems and distributed mapping architectures
WHAT'S ON OFFER
- Salary up to £95,000 depending on experience
- A role shaped around you, from graduate through to lead
- High ownership and real influence over the mapping platform and technical direction
- The chance to work on live deployments in challenging real world environments
- A fast-paced, early-stage environment where you can grow quickly and make a real impact
TO APPLY Please apply via this advert or email directly. For further information, call or . By applying, you consent to us processing and submitting your application (subject to suitability) for this vacancy only.
To apply for this job please visit www.reed.co.uk.
Make this application stronger
Use these quick checks before applying so your CV, interview preparation and job search are better matched to this vacancy.
Before you apply
Check the key details and make sure the role matches what you are looking for.
- Review the job title, company, location, salary and working pattern if provided.
- Check the skills, experience or qualifications requested by the employer.
- Make sure the commute, hours and contract type are realistic for you.
Tailor your CV
For IT Jobs, highlight the most relevant skills, experience and achievements linked to this type of work. Keep it honest, clear and focused on what the employer is asking for.
Use the CV Builder or browse Career Advice.
Prepare for interview
If your application is successful, prepare simple examples that show your motivation, strengths and suitability.
Keep searching smarter
Do not rely on one application. Keep searching similar roles and set up alerts so new vacancies reach you faster.
