Artificial Intelligence for Video Compression - Research Scientist

• Contribute to the conception, development, implementation, and optimization of novel learning-based video compression algorithms, including neural video coding, learned motion representation, and entropy modeling.
• Evaluate and improve neural and hybrid compression systems using state-of-the-art machine learning techniques and rate-distortion optimization.
• Represent Qualcomm in related standardization forums including JVET, MPEG Video, and ITU-T/VCEG.
• Document and present new algorithms and implementations through standards contributions, patent applications, conference papers, presentations, and journal publications.

• Developed innovative machine learning algorithms, preferably related to learned image/video compression, computer vision, or generative AI.
• Knowledge of the theory, algorithms, and techniques used in video coding, rate-distortion optimization, and neural compression.
• Experience with video compression standards such as VVC/H.266, HEVC/H.265, AV1, or emerging neural video coding technologies.
• Track record of successful research accomplishments demonstrated through publications at leading conferences and/or patent applications.
• Excellent programming skills including Python and C/C++, combined with experience using machine learning frameworks such as PyTorch.

Qualifications:

• PhD or Master’s degree in Electrical Engineering, Computer Science, Machine Learning, Applied Mathematics, or related fields.
• Experience developing and evaluating machine learning models for compression, computer vision, or multimedia applications., * 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., 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.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits : $158,400.00 - $237,600.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link .

Qualcomm Technologies, Inc., Qualcomm’s Multimedia R&D and Standards Group is seeking a candidate for the position of Video Compression Research Engineer with a focus on Learning-Based Video Compression . You will join a world-renowned team of video compression experts developing next-generation neural video coding technologies and contributing to future video compression standards.

The ideal candidate will be a highly self-directed individual with strong creative and analytical skills, and a passion for machine learning, neural compression, and video coding. This role offers the opportunity to contribute to groundbreaking advances in neural video compression while collaborating with experts in machine learning, computer vision, multimedia systems, and video coding standards.

We are considering candidates with various levels of experience. We are flexible on location and open to hiring globally, with preferred locations in the USA, Germany, China, and the UK. Qualcomm may provide relocation support for qualified candidates who wish to relocate to one of these locations.