Qualcomm's Multimedia R&D and Standards Group is seeking a Video Compression Research Engineer to join their team of experts in video compression technology. The role involves developing algorithms and systems that leverage classical and machine learning methods for video compression and processing applications. Candidates will work on improving state-of-the-art video codecs and participate in standardization forums. The position is flexible in terms of location, with a preference for candidates in the USA, Germany, or Taiwan.

• PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.
• Expert knowledge of video and image coding theory, algorithms, and techniques, including HEVC and VVC.
• Experience with deep learning architectures such as CNN, RNN, and autoencoders.
• Solid programming skills in C/C++ and knowledge of at least one machine learning framework like PyTorch or TensorFlow.
• Strong written and verbal English communication skills.

• 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 related standardization forums such as JVET, MPEG Video, and ITU-T/VCEG.
• Document and present new algorithms and implementations in various forms, including standards contributions and publications.

• Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.