Mapping and Localization Engineer

About the Role

We are looking for a Mapping and Localization Engineer to develop and deploy robust spatial estimation systems for a fleet of autonomous cleaning robots. This position emphasizes creating dependable mapping and localization technologies suitable for dynamic indoor environments.

Key Responsibilities

• Design and implement sensor fusion-based 2D and 3D mapping systems, including merging maps and updating them continuously.
• Develop reliable real-time localization algorithms for sustainable autonomous robot operation.
• Optimize algorithms to efficiently run on ARM embedded systems in real time.
• Lead design review sessions and mentor junior engineers on software engineering best practices, focusing on Modern C++ and ROS2.

Qualifications and Requirements

• Open to fresh graduates.
• Expertise in either LiDAR-based mapping/localization (2D or 3D) or vision-based approaches (Monocular, Stereo, or RGB-D).
• Strong foundation in math areas like linear algebra, probability, and nonlinear optimization.
• Advanced skills in Modern C++ standards (14, 17, or 20).
• Experience working with ROS and ROS2 frameworks.
• Proficiency in Python scripting and analysis.
• Demonstrated ability to handle challenging scenarios such as glass surfaces, corridors lacking features, and environments with significant dynamics for consistent system performance.

Additional Information

This position offers the opportunity to tackle complex challenges and contribute to the advancement of robotic mapping and localization. Join a passionate and collaborative team dedicated to innovating in autonomous cleaning technology.