Video Research Engineer (Multiple Levels)
Core
Developing new applications of classical and machine learning methods in video compression to improve state-of-the-art video codecs.
Role type
Senior IC video compression research engineer
Builds
Advanced video compression algorithms and AI-based compression tools
Domain
Video compression, computer vision, machine learning
Deliverable
production ML models
Required skills
Video coding standards (HEVC, VVC), deep learning architectures (CNN, RNN, autoencoders), C/C++ programming, machine learning frameworks (PyTorch, TensorFlow), algorithm design and optimization, research and publication
Preferred skills
Track record of published papers or patents in video coding/processing
Technologies
HEVC, VVC, PyTorch, TensorFlow, C, C++, MATLAB
Responsibilities
Design, implement, and optimize advanced algorithms to improve video compression efficiency; Participate in the research and development of AI-based compression tools; Represent Qualcomm in standardization forums (JVET, MPEG Video, ITU-T/VCEG); Document and present new algorithms and implementations in standards contributions, patent applications, and publications
Seniority
Senior, hands-on IC
