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