1. Develop, implement, and test algorithms for localization and mapping;
2. Perform 3D pose estimation based LiDAR-Inertial odometry and Visual-Inertial odometry;
3. Implement pose estimation and feature tracking algorithms;
4. Troubleshoot related to SLAM during design, testing, and operational phases;
5. Prepare technical reports, presentations and documentation related to SLAM.
Technical Qualifications & Language Requirements
1. 2+ years of demonstrated experience developing SLAM algorithms for pose estimation and mapping using camera, LiDAR, and IMU data;
2. Experience with multi-sensor fusion algorithms to improve localization accuracy and efficiency;
3. Ability to collaborate effiectively with cross-functional teams, including testing and hardware 1 / 3;
4. Excellent understanding of C++;
5. Excellent communication skills, both written and verbal;
6. M.S. or Ph.D. in Robotics, Electrical Engineering, Computer Vision or a related field;
7. 2+ years experience in SLAM, sensor fusion, and robotics;
8. Experience with filter-based and graph-based optimization;
9. Experience with LiDAR-Inertial odometry or Visual-Inertial odometry;
10. Published papers/research in top robotics conference.
Your submission is complete. Please remain available by phone and email for next steps.