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- Tasks: Lead the development of high-accuracy mapping for autonomous systems and mentor a growing team.
- Company: Innovative startup focused on real-world autonomous technology in London.
- Benefits: Competitive salary around £80k, opportunity for career growth, and impactful work.
- Why this job: Shape the future of autonomous driving with cutting-edge mapping technology.
- Qualifications: MSc/PhD in relevant fields and 4-5 years of hands-on mapping experience.
- Other info: Join a dynamic team and take ownership of mission-critical projects.
The predicted salary is between 64000 - 96000 £ per year.
Want to work for an advanced start up building real-world autonomous systems? We are looking for a highly skilled Senior Mapping Engineer to become the first dedicated mapping lead. This is a high-ownership role where you will take charge of the high-accuracy, large-scale mapping capability, set the technical roadmap, and grow and mentor a mapping team as deployments scale. You will maintain and evolve an existing mapping codebase, enhancing accuracy, stability, and scalability across challenging industrial and autonomous environments. Working closely with perception, localization, and navigation, you will ensure the maps are drift-free, up-to-date, and deeply integrated into the autonomy stack - from raw sensor data to validated, deployed map products.
What you will do:
- Own and advance scalable LiDAR- and vision-based mapping pipelines.
- Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models.
- Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs.
- Deliver large-scale capabilities like multi-session mapping, fleet workflows, map versioning, delta updates, and distributed map generation.
- Maintain tight integration with SLAM/Localization to ensure stable, drift-free deployment performance.
- Define KPIs and validation frameworks for map accuracy, completeness, and consistency.
- Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems.
- Set best practices and technical standards to support future team growth.
Experience required:
- MSc/PhD in Robotics, Computer Vision, Computer Science, or related field.
- 4-5 years hands-on mapping experience in autonomous systems or robotics.
- Deep expertise in LiDAR/point-cloud processing (PCL, Open3D, custom pipelines).
- Strong background in vision-based mapping / visual SLAM and multi-sensor fusion.
- Proficiency in C++ with strong experience in ROS2.
- Solid grounding in estimation, optimization, geometry, kinematics, and TF2.
Why join:
You will own a mission-critical autonomy capability, shape the map product and technical direction, work on live deployments, and step into a clear path to build and lead your own mapping team.
Senior Mapping Engineer - Robotics / Autonomous Driving in City of London employer: Talent Locker
Contact Detail:
Talent Locker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Mapping Engineer - Robotics / Autonomous Driving in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the robotics and autonomous driving scene. Attend meetups, conferences, or even online webinars. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your mapping projects, especially those involving LiDAR and multi-sensor fusion. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t just apply; engage! When you find a role that excites you, reach out to the hiring manager or team members on LinkedIn. Ask insightful questions about the company’s mapping challenges. This shows genuine interest and can help you stand out.
✨Tip Number 4
Keep it real with your interviews! Be prepared to discuss your hands-on experience with mapping in autonomous systems. Share specific examples of how you've tackled challenges in previous roles. And remember, we’re always here to help you prepare through our resources!
We think you need these skills to ace Senior Mapping Engineer - Robotics / Autonomous Driving in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with LiDAR, vision-based mapping, and multi-sensor fusion. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical expertise!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Senior Mapping Engineer position. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you fit in.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re the perfect fit!
Apply Through Our Website: We encourage you 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. Plus, it’s super easy!
How to prepare for a job interview at Talent Locker
✨Know Your Stuff
Make sure you brush up on your knowledge of LiDAR, point-cloud processing, and visual SLAM. Be ready to discuss your hands-on experience and how it relates to the role. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to technical skills.
✨Showcase Your Leadership Skills
Since this is a high-ownership role, be prepared to discuss your experience in leading teams or projects. Share examples of how you've mentored others or set technical standards in previous roles. This will demonstrate that you’re ready to take charge and grow a mapping team.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise, especially around multi-sensor fusion and map accuracy. Brush up on relevant KPIs and validation frameworks, and be ready to explain how you would approach challenges in maintaining drift-free maps in autonomous systems.
✨Align with Their Vision
Research the company’s mission and recent projects. Be ready to discuss how your vision aligns with theirs, particularly in terms of building real-world autonomous systems. Showing that you understand their goals and can contribute to them will set you apart from other candidates.