Job 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.
Skills
Algorithmsunmatched
C Programming Languageunmatched
Communication Skillsunmatched
Computer Visionunmatched
Cross-Functionalunmatched
Documentationunmatched
Electrical Engineeringunmatched
Functional Testingunmatched
Hardware Quality Assuranceunmatched
Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR)unmatched
Localizationunmatched
Presentation/Verbal Skillsunmatched
Reporting Skillsunmatched
Roboticsunmatched
Robotics Softwareunmatched
Software Engineeringunmatched
Team Playerunmatched
Technical Presentationunmatched
Test Designunmatched
Testingunmatched
Writing Skillsunmatched
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