Video research staff engineer

## Company: Qualcomm China ## Job Area: Engineering Group, Engineering Group > Technical Standards Engineering General Summary: Qualcomm's Multimedia R&D and Standards Group is seeking candidates for Video Compression Research Engineer positions. You will be part of world-renowned team of video compression experts. The team develops algorithms, hardware architectures, and systems for state-of-the-art applications of classical and machine learning methods in video compression, video processing, point cloud coding and processing, AR/VR and computer vision use cases. The successful candidate for this position will be a highly self-directed individual with strong creative and analytic skills and a passion for video compression technology. You will work on, but not be limited to, developing new applications of classical and machine learning methods in video compression improving state-of-the-art video codecs. Responsibilities: * Contribute to the design, implementation, and optimization of advanced algorithms to improve video compression efficiency. * Participate in the research and development of AI-based compression tools. * Represent Qualcomm in the related standardization forums: JVET, MPEG Video, and ITU-T/VCEG. * Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference and journal publications, etc. Ideal candidate would have the skills/experience below: * Expert knowledge of the theory, algorithms, and techniques used in video and image coding., including latest video coding standards such as HEVC and VVC. * Experience with deep learning architectures, including CNN, RNN, and autoencoders. * Track record of successful research accomplishments demonstrated through published papers, and/or patent applications in the fields of video coding or video processing. * Solid programming skills in C/C++ combined with knowledge of at least one machine learning framework such as PyTorch or TensorFlow. * Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals. * Masters or PhD degree with relevant work experience or publications in the areas of video compression, video/image processing algorithms, computer vision, or machine learning. Qualifications: * PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields. * 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. *Global travel several times per year for standards organization forums. Qualcomm is an equal opportunity employer. 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