Artificial Intelligence Video Compression - Research Scientist

Company

Qualcomm Technologies, Inc.

Engineering Group >
Machine Learning Engineering

Qualcomm's Multimedia R&D and Standards Group is seeking a Video Compression Research Engineer with a focus on machine learning for video compression. The role involves developing algorithms, hardware architectures, and systems for state-of-the-art video compression, video processing, point cloud coding, AR/VR, and computer vision. The ideal candidate is self‑directed, creative, analytic, and passionate about machine learning and video compression technologies.

• Contribute to the conception, development, implementation, and optimization of new neural‑network‑based algorithms that improve video compression.
• Represent Qualcomm in standardization forums such as 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 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 with 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++, and knowledge of at least one machine‑learning framework such as PyTorch.
• Strong written and verbal English communication skills, strong work ethic, and ability to work in a team environment.

• Ph.D. or M.S. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field.
• 1+ years of experience with programming languages such as C, C++, MATLAB, etc.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a 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 a related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• Ph.D. in Computer Science, Engineering, Information Systems, or a related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may e‑mail disability‑ or call Qualcomm's toll‑free number at their website. Upon request, Qualcomm will provide reasonable accommodations.

Pay range: $ – $. 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. Salaries are only one component of total compensation. Additional compensation includes an annual discretionary bonus program and the opportunity for annual RSU grants. Benefits support your success at work, home, and play.

You can review more details about U.S. benefits on Qualcomm’s website.

For more information about this role, please contact Qualcomm Careers.