Research Engineer Intern - Mapping & Localization
- LiDAR Algorithm Development: Design, develop, and optimize cutting-edge LiDAR-based localization and mapping algorithms to enhance the autonomy of vehicles.
- Map Support: Refine both online and offline map generation algorithms to improve and sustain localization precision.
- Map Interface Enhancement: Advance the functionality and user experience of the LiDAR map interface, focusing on the robust management of various map versions.
- Sensor Fusion Development: Skillfully merge LiDAR data with other sensory inputs (e.g., GPS, IMU, cameras) to devise integrated, real-time mapping and localization solutions.
- Continue to grow within the team, taking on more complex projects and pushing the boundaries of autonomous vehicle technology.
- Education: MS or PhD in Computer Science, Electrical Engineering, Robotics, or a related discipline.
- Technical Experience: Proven project involvement in LiDAR-based localization and mapping within autonomous vehicles or robotics.
- Sensor Fusion Expertise: Deep understanding of integrating various sensors like LiDAR, GPS, IMU, and camera data.
- Software Proficiency: Solid experience in C++ and ROS.
- Communication: Exceptional ability to communicate complex technical details effectively across multidisciplinary teams, c oncepts to non-technical team members.
- Experience with Gaussian splatting/NeRF is a plus.
- Experience with deep learning techniques applied to localization and mapping is a plus.
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