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 opportunities for professional growth.
- Other info: Collaborate globally in a hybrid work environment with excellent career advancement potential.
- Why this job: Join a dynamic team at the forefront of robotics and computer vision technology.
- 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 Oxford, 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.
Qualifications
- 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: Immediate hire
- Job Type: Full Time / Permanent (benefits required by law)
- Location: Oxford, UK
- Work Model: Remote, Hybrid, or Office-based depending on location
- Pay: £85,000 – £105,000 per year (based 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.
Senior Mapping Localization Engineer in Oxford employer: Voxelmaps
Voxelmaps is an exceptional employer, offering a dynamic work environment in Oxford that fosters innovation and collaboration in the fields of robotics and geospatial systems. With a strong emphasis on employee growth, Voxelmaps provides opportunities for professional development through engaging projects and access to cutting-edge technology, all while promoting a flexible work model that supports a healthy work-life balance. Join a team that values diversity and inclusion, where your contributions will directly impact the advancement of spatial intelligence systems.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Mapping Localization Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 projects related to SLAM, sensor fusion, or point cloud registration. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and algorithms relevant to mapping and localization. Practice explaining your thought process clearly, as communication is key in these roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Mapping Localization Engineer in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to 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.
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, and how your background makes you a perfect fit for our team at Voxelmaps.
Showcase Your Technical Skills:Don’t forget to emphasise your technical skills in C++ and Python, as well as your experience with tools like GTSAM and OpenCV. We want to see how you can contribute to our projects right from the start!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 specific projects where you've implemented SLAM, focusing on challenges you faced and how you overcame them.
✨Showcase Your Coding Skills
Since strong C++ and Python skills are crucial for this role, 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 processing.
✨Familiarise Yourself with Geospatial Systems
Dive deep into geospatial systems and coordinate transformations. Be prepared to explain how you've integrated different datasets in past projects and the methods you used for validation and accuracy assessment.
✨Prepare Questions About Team Collaboration
Given the hybrid work model and global team collaboration, think of insightful questions about how teams communicate and share knowledge. This shows your interest in teamwork and adaptability in a remote environment.
