Qualcomm is seeking a Video Compression Research Engineer focused on machine learning for video compression within its Multimedia R&D and Standards Group. The role involves working with a team of experts to develop algorithms and systems for advanced video compression and processing applications. The ideal candidate will have a strong background in machine learning and video compression technologies. This position offers flexibility in location, with preferred options in the USA, Germany, and Taiwan.

• PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.
• 1+ years of experience with programming languages such as C, C++, or MATLAB.
• Developed innovative artificial intelligence/machine learning algorithms preferably related to data compression or computer vision.
• Knowledge of the theory, algorithms, and techniques used in video and image coding.
• Experience in video compression standards, such as VVC/H.266 or HEVC/H.265, is a significant benefit.

• Contribute to the conception, development, implementation, and optimization of new Neural Networks based algorithms for improved video compression.
• 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, patent applications, conference papers, and journal 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.