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 a supportive team environment.
- 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 Bristol, 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: Bristol, 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.
Senior Mapping Localization Engineer in Bristol employer: Voxelmaps
At Voxelmaps, we pride ourselves on being an exceptional employer, offering a dynamic work environment in Bristol that fosters innovation and collaboration. Our commitment to employee growth is evident through our focus on cutting-edge technology in spatial intelligence, providing opportunities for professional development and meaningful contributions to the field of robotics and geospatial systems. With flexible work arrangements and a diverse team, we ensure that every employee feels valued and empowered to excel in their role.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Mapping Localization Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Voxelmaps employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to SLAM, sensor fusion, or any relevant tech. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and problem-solving scenarios. Practice explaining your past projects and how they relate to the role at Voxelmaps. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Voxelmaps team.
We think you need these skills to ace Senior Mapping Localization Engineer in Bristol
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Mapping Localization Engineer role. Highlight your experience with SLAM, sensor fusion, and any relevant projects that showcase your skills in robotics and geospatial systems.
Showcase Your Technical Skills:We want to see your strong C++ and Python skills shine through! Include specific examples of how you've used these languages in past projects, especially in relation to mapping and localization.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use bullet points where possible to make your achievements stand out, and ensure your passion for the field comes across clearly.
Apply Through Our Website:Don’t forget 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. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Voxelmaps
✨Know Your SLAM Inside Out
Make sure you brush up on your knowledge of SLAM (Simultaneous Localization and Mapping) techniques. Be prepared to discuss specific algorithms you've worked with, like GTSAM or Ceres Solver, and how you've applied them in real-world scenarios.
✨Showcase Your Coding Skills
Since strong C++ and Python skills are essential for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges related to mapping and localization beforehand.
✨Prepare for Technical Questions
Expect in-depth questions about point cloud registration, sensor fusion, and camera calibration. Review your past projects and be ready to explain your thought process and the challenges you faced while working on them.
✨Understand the Company’s Vision
Research Voxelmaps and their approach to spatial intelligence systems. Understanding their products and how they integrate various data sources will help you align your answers with their goals during the interview.
