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- Tasks: Lead the development of high-accuracy mapping for autonomous systems and mentor a growing team.
- Company: Exciting startup focused on real-world autonomous technology in London.
- Benefits: Competitive salary, opportunity for growth, and a chance to shape the future of mapping.
- Why this job: Be at the forefront of innovation in robotics and make a significant impact.
- Qualifications: MSc/PhD in relevant fields and 4-5+ years of hands-on mapping experience.
- Other info: Join a dynamic team with a clear path to leadership and career advancement.
The predicted salary is between 72000 - 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 employer: The Talent Locker
Contact Detail:
The Talent Locker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Mapping Engineer - Robotics/Autonomous Driving
✨Tip Number 1
Network like a pro! Reach out to people in the robotics and autonomous driving space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨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
Prepare for technical interviews by brushing up on your C++ and ROS2 skills. Practice coding challenges related to mapping and SLAM. We recommend using platforms that focus on robotics problems to get you in the right mindset.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to cutting-edge autonomous systems.
We think you need these skills to ace Senior Mapping Engineer - Robotics/Autonomous Driving
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for robotics and autonomous systems shine through. We want to see that you’re genuinely excited about the role and how your skills can contribute to our mission.
Tailor Your CV: Make sure your CV is tailored to highlight your relevant experience in mapping and robotics. We’re looking for specific examples of your work with LiDAR, multi-sensor fusion, and any projects that showcase your technical expertise.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role. Avoid jargon unless it’s relevant to the position.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at The Talent Locker
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around LiDAR, point-cloud processing, and visual SLAM. Be ready to discuss your past projects in detail, showcasing how your experience aligns with the role's requirements.
✨Showcase Your Leadership Skills
Since this is a high-ownership role, be prepared to talk about your experience in leading teams or projects. Share examples of how you've mentored others or set technical standards in previous roles to demonstrate your capability to grow and lead a mapping team.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that test your problem-solving skills. Think about challenges you've encountered in mapping or autonomous systems and how you overcame them. This will show your analytical thinking and ability to handle real-world issues.
✨Align with Their Vision
Research the company’s mission and values, and be ready to explain how your goals align with theirs. Discuss your passion for robotics and autonomous driving, and how you see yourself contributing to their vision of building advanced autonomous systems.