2 years of demonstrated experience developing SLAM algorithms for pose estimation and mapping using camera, LiDAR, and IMU data. Ability to collaborate effectively with cross-functional teams including testing and hardware.
Numbers & Facts
Location
Atlanta, GA
Description
Responsibilities
Develop, implement, and test algorithms for localization and mapping.
Perform 3D pose estimation based LiDAR-Inertial odometry and Visual-Inertial odometry.
Implement pose estimation and feature tracking algorithms.
Troubleshoot related to SLAM during design testing and operational phases.
Prepare technical reports, presentations, and documentation related to SLAM.
Requirements
Technical Qualifications & Language Requirements
2 years of demonstrated experience developing SLAM algorithms for pose estimation and mapping using camera, LiDAR, and IMU data.
Experience with multi-sensor fusion algorithms to improve localization accuracy and efficiency.
Ability to collaborate effectively with cross-functional teams including testing and hardware.
Excellent understanding of C.
Excellent communication skills, both written and verbal.
M.S. or Ph.D. in Robotics, Electrical Engineering, Computer Vision, or a related field.
2 years experience in SLAM, sensor fusion, and robotics.
Experience with filter-based and graph-based optimization.
Experience with LiDAR-Inertial odometry or Visual-Inertial odometry.
Published papers/research in top robotics conference.