SLAM and Navigation Algorithm Engineer
2 weeks ago
Be among the first 25 applicants
- Design, develop, integrate and tune mapping and navigation systems for autonomous mobile robots.
- Implement intelligent strategies for path planning and obstacle avoidance on a mobile robot.
- Fuse information from different sensors (IMU, LiDARs, encoders, etc.) to realize SLAM, robot localization, and navigation algorithms.
- From the information of LiDAR and depth camera, build environmental maps (2D/3D) for navigation of autonomous mobile robots.
- Build a map management system for robotic applications.
Job Requirements:
- M.Phil. or Ph.D. Degree in Computer Science, Robotics, or related field.
- Solid programming skills in C/C++, Python in a Linux environment.
- Strong experience in designing and developing robotic systems using a robotic middleware (such as ROS) and existing libraries and tools.
- Develop, integrate, and analyze sensor fusion algorithms such as extended Kalman filters, unscented Kalman filters, particle filters, or factor graphs.
- Knowledge of LiDAR SLAM, 2D/3D Vision SLAM, robot path-planning, and localization.
- Familiar with SLAM frameworks and experience in applying SLAM-related libraries such as Slamware.
- Strong problem-solving skills and ability to work independently and as part of a team.
- Good communication and interpersonal skills.
- Passion for technology and a desire to continuously learn and improve.
We offer promising career advancement opportunities and an attractive compensation package to the right candidate. Interested parties, please send your full resume to the Human Resource Department.
Seniority level- Mid-Senior level
- Full-time
- Engineering and Research
- Robotics Engineering, Robot Manufacturing, and Automation Machinery Manufacturing
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