At a Glance
- Tasks: Enhance algorithms for mapping and localization in cutting-edge spatial intelligence systems.
- Company: Voxelmaps, a leader in spatial intelligence and geospatial products.
- Benefits: Competitive salary, flexible work options, and comprehensive benefits.
- Other info: Remote, hybrid, or office-based roles available with global collaboration.
- Why this job: Join a dynamic team at the forefront of robotics and computer vision.
- Qualifications: 5+ years in robotics or geospatial systems with strong C++ and Python skills.
The predicted salary is between 85000 - 105000 € per year.
Voxelmaps builds spatial intelligence systems that transform large-scale sensor data into accurate, usable geospatial and mapping products. We are seeking a Senior Mapping & Localization Engineer to enhance and develop core algorithms and infrastructure for localization, sensor alignment, camera geometry, and spatial data integration workflows in Manchester, UK. This role focuses on improving map consistency and accuracy across large capture datasets by solving problems in SLAM loop closure, point cloud registration, sensor fusion, camera calibration, and coordinate system transformations. You will work at the intersection of robotics, photogrammetry, computer vision, and geospatial systems.
Responsibilities
- Mapping & Localization: Enhance existing or design and implement new SLAM pipelines to improve global trajectory consistency and reduce drift across large-scale mapping datasets collected from different sources. Improve localization robustness across multi-session and multi-sensor capture systems.
- Point Cloud Registration & Alignment: Improve point cloud registration pipelines for LiDAR and multi-modal datasets. Develop workflows for cross-session map alignment and map merging.
- Sensor Fusion & Spatial Integration: Improve and develop sensor fusion pipelines integrating LiDAR, cameras, GNSS, IMU, odometry, and external references. Implement temporal synchronization and uncertainty-aware fusion methods. Integrate third-party spatial datasets and external map sources into Voxelmaps mapping pipelines.
- Coordinate Systems & Transformations: Design and maintain coordinate transformation frameworks across different coordinate systems. Implement georeferencing and transformation validation workflows. Support spatial accuracy assessment and error analysis.
- Camera Systems & Optimization: Maintain and optimize camera calibration and camera pose optimization pipelines. Improve trajectory accuracy through joint optimization of sensor geometry and pose estimates.
Required Qualifications & Skills
- BS / MS in Computer Science, Robotics, Geomatics, Photogrammetry, Mathematics, or related field.
- 5+ years of experience in robotics, mapping, computer vision, or geospatial systems.
- Strong background in SLAM, localization, sensor fusion, geometric optimization, and 3D reconstruction.
- Strong C++ and Python skills.
- Experience with numerical optimization and geometry libraries.
Technical Experience
- SLAM / Optimization: GTSAM, Ceres Solver, g2o, Factor graph optimization, Bundle adjustment.
- Point Clouds / Registration: PCL, Open3D, ICP / NDT registration, LiDAR processing.
- Computer Vision: OpenCV, Camera models, Calibration methods, Pose estimation, SfM / photogrammetry.
- Robotics: ROS / ROS2, Sensor synchronization, GNSS / IMU integration, State estimation.
- Geospatial: Coordinate reference systems, Geodesy, PROJ, GDAL, Transformation pipelines.
Preferred Qualifications
- Experience with large-scale mapping systems or mobile mapping platforms.
- Experience processing city-scale LiDAR datasets.
- Understanding of uncertainty propagation and covariance modeling.
- Experience with multi-session localization and map fusion.
- Background in photogrammetry or visual-inertial systems.
- Publications or open-source contributions in SLAM, mapping, or calibration.
Work Environment
This role may be remote, hybrid, or office-based depending on the selected candidate location. Candidates must be comfortable collaborating across global teams and time zones.
Job Details
- Timeline: For immediate hire
- Job Type: Full Time / Permanent, with benefits required by law
- Location: Manchester, UK
- Work Model: Remote, hybrid or office-based depending on selected candidate location
- Pay: £85,000 – £105,000 per year, depending on experience
EEO Statement
Voxelmaps is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results.
Disclaimer
All claims and offers to compensation, rewards, and onboarding procedures are at the sole discretion of Voxelmaps.
Senior Mapping Localization Engineer in Manchester employer: Voxelmaps
Voxelmaps is an exceptional employer that fosters a collaborative and innovative work culture, ideal for professionals passionate about spatial intelligence and geospatial systems. Located in Manchester, UK, we offer flexible work arrangements, competitive salaries, and opportunities for professional growth in cutting-edge technologies like robotics and computer vision. Join us to be part of a diverse team dedicated to transforming large-scale sensor data into impactful mapping products while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Mapping Localization Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Voxelmaps employees on LinkedIn. A personal touch can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to SLAM, sensor fusion, or point cloud registration. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ and Python skills. Practice coding challenges and be ready to discuss your past projects in detail, especially those involving geospatial systems and optimization.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Voxelmaps. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Mapping Localization Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in SLAM, localization, and sensor fusion. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about mapping and localization. Share specific examples of how you've tackled challenges in previous roles that relate to what we do at Voxelmaps.
Show Off Your Technical Skills:We’re looking for strong C++ and Python skills, so make sure to mention any relevant technical experience. If you’ve worked with libraries like OpenCV or PCL, give us the details! This is your moment to impress us with your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the Voxelmaps team!
How to prepare for a job interview at Voxelmaps
✨Know Your SLAM Inside Out
Make sure you brush up on your knowledge of SLAM algorithms and their applications. Be ready to discuss how you've enhanced or implemented SLAM pipelines in the past, as this will show your practical experience and understanding of the role.
✨Showcase Your Coding Skills
Since strong C++ and Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to sensor fusion or point cloud registration to feel confident.
✨Prepare for Technical Questions
Expect in-depth questions about coordinate systems, camera calibration, and point cloud processing. Review your past projects and be ready to explain your thought process and the challenges you faced, as this will highlight your problem-solving skills.
✨Understand the Company’s Vision
Research Voxelmaps and their spatial intelligence systems. Understanding their products and how they integrate various technologies will help you align your answers with their goals, showing that you're genuinely interested in contributing to their mission.
