Responsibilities:Participate in cutting edge research in computer vision. Develop novel real-time 3D scene reconstruction techniques and delivering accurate visual odometry systems. Apply machine learning to computer vision problems. Research and prototype techniques and algorithms for object detection and recognition. Develop robust software for integrating multiple source of sensors and tracking systems. Prototype hardware and software solutions for tracking, detection and modeling. Perform research that enables modeling and tracking the human body Human body modeling, actively recognition, tracking Requirements:BS/MS/PhD degree in a relevant field of study (e.g., Computer Science, Computer Engineering) Solid programming skills in C++ Experience with Deep Learning Experience with Simultaneous Localization and Mapping (SLAM) algorithms. Deep understanding of automotive camera sensor technologies, interfaces, data formats Knowledge of object tracking and data association, sensor fusion, estimation, scene recognition Generation and tracking of key performance indicators and regression testing Development or use of simulation environments Experience working on robotic and/or automotive electronics hardware is a plus Preferred to have:Previous experience in developing automotive vision a plus (lane tracking, vehicle detection and tracking, traffic light/sign detection, ground plane estimation) Experience with existing ADAS technologies such as adaptive cruise control, automatic emergency braking, and lane keeping Understanding of ADAS sensors such as radar, camera, ultrasonic, and lidar, including the measurement and data-reduction, target identification and environmental synthesis, and sensor fusion Previous use or contributions to open source computer vision libraries, such as OpenCV Previous use of machine learning frameworks such as Caffe and TensorFlow Skilled knowledge with parallel programming in CUDA or OpenCL Experience in dealing with large scale of data, data storage/management/processingThe company offers competitive salaries with demonstrated experience. Employee benefits include:Premium Medical, Dental and Vision Plan Free Daily Breakfast, Lunch and Dinner Paid vacations and holidays Phone reimbursement Gym reimbursement
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