SLAM and Navigation Algorithm Engineer

KASE (International) Technology Company Limited - Founded in 2014, with headquarters in Hong Kong and a dedicated engineering team in China, KASE Automation excels in creating innovative products and solutions across the spectrum of automation and robotics.

The company's strength lies in its superior robotics development, as evidenced by an impressive portfolio of advanced robotic arms and automated feeding equipment. These products represent our capacity to deliver precise, efficient, and reliable robotics tailor-made for a variety of applications.
In addition to product development, KASE Automation also provides comprehensive services, including customized machine design, computational fluid dynamics (CFD), and finite element analysis (FEA). This expertise enables us to offer unique solutions that directly meet our clients' specific requirements, amplifying our standing in the field of robotics and automation.

With a strong focus on technological innovation, quality, and customer satisfaction, KASE Automation emerges as a reliable partner for businesses intent on integrating advanced robotics into their operations.
 

Job Responsibilities 

-       Design, develop, integrate and tune mapping and navigation systems for autonomous mobile robot

-       Implement intelligent strategies for path planning and obstacles avoidance on a mobile robot

-       Fuse information from different sensors (IMU, LiDARs, encoders, …) 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 robot

-       Build a map management system for robotic application

Job Requirements

-       M.Phil., or Ph.D. Degree in Computer Science, Robotics or related field

-       Solid programming Skill in C/C++, Python in 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

Interested parties please send your full resume and your expected salary to Group HR Department by clicking "Apply Now" button.