At a Glance
- Tasks: Design and evolve scalable mapping systems for advanced robotics.
- Company: Innovative autonomy start-up revolutionising real-world robotic systems.
- Benefits: Competitive salary, ownership of projects, and career growth opportunities.
- Other info: Be the first dedicated mapping hire and build your own team.
- Why this job: Lead the mapping capability and shape the future of autonomy technology.
- Qualifications: MSc/PhD in relevant fields and 4-5+ years in mapping systems.
The predicted salary is between 64000 - 96000 £ per year.
An opportunity to take ownership of the mapping capability inside an advanced autonomy start up building real-world robotic systems. This role sits at the heart of the autonomy stack. The focus is the creation of high-accuracy, reusable 3D / HD maps that support reliable deployment across complex environments. As the first dedicated mapping hire, responsibility sits with you to evolve the mapping architecture, deepen the mathematical foundations behind it, and ensure the maps produced are stable, scalable and production ready.
Working closely with perception, localisation and navigation engineers, the goal is to turn raw multi-sensor data into precise, reusable map products that can be versioned, updated and deployed across fleets. Over time, this role will naturally grow into leading and building the mapping team.
What you’ll be doing:
- Designing and evolving scalable LiDAR and vision-based mapping pipelines.
- Creating high-fidelity 3D / HD maps suitable for repeated autonomous deployments.
- Building robust spatial representations including occupancy grids, vector maps, semantic layers and environment models.
- Applying optimisation techniques such as factor graphs, bundle adjustment and pose graph optimisation to maintain global consistency.
- Leading multi-sensor fusion across LiDAR, cameras, radar, GNSS/INS and odometry.
- Developing large-scale capabilities including multi-session mapping, map versioning, delta updates and fleet workflows.
- Ensuring tight coupling between mapping, SLAM and localisation to guarantee drift-free operation.
- Defining accuracy, consistency and validation frameworks for deployed maps.
Experience required:
- MSc or PhD in Robotics, Computer Vision, Computer Science, Mathematics or a related field.
- 4-5+ years building mapping systems for robotics or autonomous platforms operating in real-world environments.
- Proven experience creating high-accuracy 3D / HD maps designed for reuse across deployments, not just one-off mapping or research prototypes.
- Strong understanding of the mathematical foundations behind mapping, including pose graphs, factor graphs, bundle adjustment and probabilistic estimation.
- Deep experience working with LiDAR and large-scale point cloud processing (PCL, Open3D or similar).
- Experience combining multiple sensor sources such as LiDAR, cameras, GNSS/INS and odometry to generate globally consistent maps.
- Strong C++ development with experience working in ROS2-based autonomy stacks.
- Solid grounding in geometry, coordinate frames, kinematics and transformation systems.
Why join:
You’ll own a mission-critical capability inside a company deploying autonomy in the real world, shaping the mapping stack, influencing the wider autonomy architecture and building the team that will take it forward. An opportunity to define how mapping works in a real-world autonomy platform from the ground up.
Senior Mapping Engineer (Large-Scale 3D/HD Mapping) employer: Talent Locker
Talent Locker is an exceptional employer, offering a dynamic work environment in London where innovation thrives. With a strong focus on employee growth, you will have access to cutting-edge technologies and collaborative teams that foster creativity and professional development. The competitive salary, performance bonuses, and outstanding benefits make it a rewarding place to advance your career in AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Mapping Engineer (Large-Scale 3D/HD Mapping)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your mapping projects or any relevant work. We want to see what you can do, so make it easy for us to be impressed!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with LiDAR and multi-sensor fusion. We love candidates who can talk the talk and walk the walk.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals ready to shape the future of mapping.
We think you need these skills to ace Senior Mapping Engineer (Large-Scale 3D/HD Mapping)
Some tips for your application 🫡
Show Your Passion for Mapping:When you write your application, let your enthusiasm for 3D mapping shine through! We want to see how your experience aligns with our mission of creating high-accuracy maps. Share specific projects or challenges you've tackled that relate to the role.
Tailor Your CV and Cover Letter:Make sure your CV and cover letter are tailored to the Senior Mapping Engineer position. Highlight relevant skills like LiDAR processing and multi-sensor fusion. We love seeing how your background fits into our vision, so don’t hold back!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications. Use bullet points where necessary and avoid jargon unless it’s relevant to the role.
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 the role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Talent Locker
✨Know Your Maths
Brush up on the mathematical foundations behind mapping, like pose graphs and bundle adjustment. Be ready to discuss how these concepts apply to real-world scenarios, as this will show your depth of understanding and ability to innovate in the role.
✨Showcase Your Experience
Prepare specific examples from your past work where you've built high-accuracy 3D/HD maps or worked with LiDAR and multi-sensor fusion. Highlight the challenges you faced and how you overcame them, as this demonstrates your problem-solving skills and hands-on experience.
✨Familiarise Yourself with the Tech Stack
Make sure you’re comfortable discussing C++ development and ROS2-based autonomy stacks. If you’ve used tools like PCL or Open3D, be ready to explain how you applied them in your projects, as this will show you're technically savvy and ready to hit the ground running.
✨Think About Team Dynamics
Since this role involves leading a team in the future, think about your leadership style and how you would build a collaborative environment. Be prepared to share your vision for developing the mapping team and how you would ensure tight coupling between mapping, SLAM, and localisation.
