Artificial Intelligence Video Compression - Research Scientist

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Machine Learning Engineering

Qualcomm's Multimedia R&D and Standards Group is seeking a candidate for the position of Video Compression Research Engineer with a focus on machine learning for video compression. You join a world-renowned team of video compression experts who develop algorithms, hardware architectures, and systems for state-of-the-art applications of classical and machine learning methods in video compression, video processing, point cloud coding and processing, AR/VR and computer vision use cases.

The ideal candidate will be a highly self-directed individual with strong creative and analytic skills, and a passion for machine learning and video compression technologies. This role offers the opportunity to contribute to groundbreaking advancements in video compression technology and working with a team of experts in a dynamic and collaborative environment.

We are considering candidates with various levels of experience. We are flexible on location and open to hiring anywhere, with preferred locations in USA, Germany and Taiwan.

• Contribute to the conception, development, implementation, and optimization of new Neural Networks based algorithms allowing improved video compression.
• Represent Qualcomm in the related standardization forums: 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 presentations, and journal publications, etc.

• 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.
• Track record of successful research accomplishments demonstrated through published papers at leading conferences, and/or patent applications.
• Excellent programming skills including Python and C/C++ combined with knowledge of at least one machine learning framework such as PyTorch.
• Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals.

• PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.
• 1+ years of experience with programming language such as C, C++, MATLAB, etc.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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