Research Engineer - Machine Learning for Video Compression

Qualcomm Technologies, Inc. is seeking a talented Research Engineer specializing in Machine Learning for Video Compression to join their world-renowned team of video compression experts. This role presents an exciting opportunity to work at the intersection of machine learning and video compression technology.

The position involves developing cutting-edge neural network-based algorithms to enhance state-of-the-art video codecs. As part of Qualcomm's Multimedia R&D and Standards Group, you'll collaborate with industry experts to pioneer new approaches in video compression, video processing, point cloud coding, and AR/VR applications.

Key responsibilities include developing and optimizing neural network algorithms for improved video compression, representing Qualcomm in major standardization forums (JVET, MPEG Video, ITU-T/VCEG), and contributing to patent applications and research publications. The role requires a blend of technical expertise in machine learning, video compression, and programming skills.

The ideal candidate will possess a PhD or Masters degree in a relevant field, demonstrate strong knowledge of neural networks and video coding theory, and have experience with video compression standards like VVC/H.266 or HEVC/H.265. Programming proficiency in Python and C/C++ is essential, along with experience in machine learning frameworks such as PyTorch.

Qualcomm offers a competitive compensation package including an annual base salary range of $140,800 - $211,200, plus opportunities for bonuses and RSU grants. The company provides comprehensive benefits including medical, dental, and vision insurance, 401k, and equity opportunities.

This position offers the flexibility of remote work, with preferred locations in the USA, Germany, and Taiwan. Join Qualcomm to be part of a team that's pushing the boundaries of video compression technology and making significant contributions to industry standards.