Machine Learning for Video Compression - Principal Scientist - Qualcomm : Job Details

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group > Video Standards Engineering

General Summary:

Qualcomm's Multimedia R&D and Standards Group is seeking candidates for Video Compression Research Engineer positions. You will be part of a world-renowned team of video compression experts. The team develops 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 successful candidate for this position will be a highly self-directed individual with strong creative and analytic skills and a passion for video compression technology. You will work on, but not be limited to, developing new applications of Neural Networks in video compression improving state-of-the-art video codecs.

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

Responsibilities:

• 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 and journal publications, presentations, etc.

Ideal candidate would have the skills/experience below:

• Knowledge of Neural Networks based data compression. 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 considered significant benefit.
• Track record of successful research accomplishments demonstrated through published papers, and/or patent applications preferably in the fields of application of Machine Learning to image or video compression.
• Excellent programming skills including Python and C/C++ combined with knowledge of at least one machine learning framework like PyTorch.
• Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals.
• Masters or PhD degree with relevant work experience or publications in the areas of video compression, video/image processing algorithms, or machine learning.

Qualifications:

PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.

10+ years of experience with programming language such as C, C++, MATLAB, etc.

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 8+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 7+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.ORPhD in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

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EEO Employer: 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.

Pay range and Other Compensation & Benefits:

$211,900.00 - $317,900.00The 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.

If you would like more information about this role, please contact Qualcomm Careers.