图达通欢迎最新从事过算法工程师等行业的优秀人才加入我们，图达通智能科技（苏州）有限公司将为您提供广阔的发展平台！
Job responsibilities include:
Develop LIDAR based autonomous driving perception algorithm.
Develop calibration and fusion algorithms for Lidar, Camera, GNSS, IMU, Radar and other sensors.
Develop SLAM algorithm based on vision and point cloud data
Develop static environment perception algorithm based on LIDAR, camera and other sensors.
Deep learning network structure design, model compression, performance optimization
Utilize above algorithms to build real world application.
Requirement:
Master degree or above, computer vision, pattern recognition, image processing and other related majors
Familiar with C++, C, Python and other programming languages
Familiar with OpenCV, PCL, GDAL, CGAL and other open-source libraries
Familiar with development environment such as Linux and ROS
Familiar with the basic principles of machine learning and computer vision
Familiar with laser point cloud data processing, familiar with common SLAM front-end and back-end algorithms
Familiar with Lidar, Camera, GPS, IMU and other sensor parameter models, calibration fusion and integrated navigation and positioning algorithms
Familiar with the basic principles, common frameworks, and model structure of deep learning
Familiar with common frameworks for deep learning target detection, recognition, and tracking
Good mathematical foundation, familiar with commonly used data structures and algorithms, and excellent algorithm programming ability
Have strong independent problem-solving skills, learning skills and communication and collaboration skills
