Research Engineer, Video Processing and Codec(Realtime Codec Optimizations)

Team Introduction Our Realtime Codec Optimization Team’s mission is to promote cutting-edge research in multimedia (including, but not limited to compression, image/video data processing), and to transfer technologies into our live-streaming products for better serving our hundreds of millions of users. We are looking for exceptional individuals from all areas of video compression and processing, who have a track record of research excellence, a passion to shape the future of video processing, and the potential to become an outstanding leader in the field. Responsibilities - Design and develop commercial realtime video codecs for 2D/3D video, Multiview video, 360-degree video, light field, et al. - Design and develop encoding and decoding framework and optimization algorithms for live-streaming usecases - Research and develop video encoding algorithms in heterogeneous platforms - Research and develop visual quality-oriented video coding and processing algorithms - Prepare encoder/decoder interface documentations - Participate in the design and implementation of self-developed transmission protocols Minimum Qualifications - Bachelor’s degree or above in computer science/electrical engineering/mathematics/statistics and related disciplines - Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills - Good understanding of state-of-art compression algorithms - Excellent programming, debugging, and optimization skills in one or more general-purpose programming languages including but not limited to: C/C++ - Collaborative mindset, with solid written and verbal communication skills Preferred Qualifications - Experience in development of image/video related applications, such as live streaming, video conference, offline transcoding - Familiar with Neural Network-based image/video coding and processing - Familiar with one of the video compression standards, e.g., AVS/H.264/H.265/VVC/AV1 and its reference software - Familiar with NEON/SIMD, and multi-threading design - Experience in international standardization work - Rich experience in video coding standards (e.g., for image/video compression, file format, system) - Publications in the academic conferences or journals in the subject