At a Glance
- Tasks: Develop LiDAR and vision mapping pipelines for autonomous vehicles.
- Company: Early-stage autonomous vehicle company with a fast-paced, ambitious culture.
- Benefits: Salary up to £95,000, high ownership, and real influence on projects.
- Other info: Collaborate closely with a small, high-impact team and grow your career quickly.
- Why this job: Shape the future of autonomy while working in a dynamic, impactful environment.
- Qualifications: Foundation in robotics, exposure to C++ and ROS2, and a passion for autonomy.
The predicted salary is between 85000 - 95000 £ per year.
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.
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.
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.
- 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 includes:
- 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 include:
- 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.
Please apply via this advert or email directly. By applying, you consent to us processing and submitting your application (subject to suitability) for this vacancy only.
Mapping Engineer in London employer: Searchability
Join an innovative early-stage autonomous vehicle company in Paddington, London, where you will have the opportunity to shape your role as a Mapping Engineer. With a strong emphasis on employee ownership and influence, this hybrid position offers a collaborative work culture that fosters growth and development across all experience levels. Enjoy a competitive salary of up to £95,000 and the chance to make a significant impact in the fast-paced world of robotics and autonomy.
StudySmarter Expert Advice🤫
We think this is how you could land Mapping Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LiDAR, SLAM, or any relevant robotics work. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to mapping, C++, and ROS2. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Mapping Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Mapping Engineer role. Highlight any relevant projects or coursework related to LiDAR, SLAM, or robotics fundamentals. We want to see how you fit into our world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for autonomy and explain why you're excited about this role. Let us know how your background makes you a great fit for our team and the impact you hope to make.
Showcase Your Projects:If you've worked on any relevant projects, whether in school or professionally, be sure to mention them. We love seeing hands-on experience, especially with multi-sensor data or mapping systems. It helps us understand your practical skills!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your talents. Don’t miss out on this opportunity!
How to prepare for a job interview at Searchability
✨Know Your Tech
Make sure you brush up on your C++ and ROS2 skills before the interview. Familiarise yourself with LiDAR and vision-based mapping concepts, as well as multi-sensor fusion. Being able to discuss these topics confidently will show that you're serious about the role.
✨Show Your Passion for Autonomy
This company is looking for someone who genuinely loves working in the field of autonomy. Be prepared to share your experiences or projects that demonstrate your enthusiasm for robotics and how you've engaged with this technology in the past.
✨Prepare for Hands-On Questions
Since this is a hands-on role, expect technical questions that may require you to solve problems on the spot. Practise explaining your thought process clearly and concisely, especially when it comes to designing mapping pipelines or integrating SLAM systems.
✨Emphasise Collaboration Skills
You'll be working closely with perception and localization engineers, so highlight any teamwork experiences you have. Discuss how you've collaborated on projects in the past and how you can contribute to a small, high-impact team environment.
