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Job Responsibilities

1.        Develop and optimize computer vision and deep learning algorithms, covering areas such as image/video object detection, tracking, semantic instance segmentation, video stabilization, stitching, SLAM, and action recognition

2.        Drive research in algorithm lightweighting, transfer learning, and other technologies, and apply them in real-world products

3.        Develop and manage the tools and infrastructure required for research, supporting the efficient implementation and deployment of algorithms

4.        Optimize and debug algorithms on embedded platforms and real-world products to ensure efficient performance and stability

Job Requirements

1.        Master’s degree or above in Computer Science, Computer Engineering, Robotics or related fields

2.        Proficiency in Python, C++, and CUDA programming

3.        Expertise in deep learning frameworks such as PyTorch, TensorFlow, and Caffe

4.        Familiar with open-source libraries such as OpenCV, Eigen, g2o, Ceres and PCL

5.        Publications in top-tier journals or conferences are preferred; patent application experience is a plus