Video Research Engineer; Levels
Listed on 2026-07-01
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Engineering
AI Engineer (Applied/Software), Computer Science
Video Compression Research Engineer
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 classical and machine learning methods 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 design, implementation, and optimization of advanced algorithms to improve video compression efficiency.
- Participate in the research and development of AI-based compression tools.
- 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, etc.
- Expert knowledge of the theory, algorithms, and techniques used in video and image coding, including latest video coding standards such as HEVC and VVC.
- Experience with deep learning architectures, including CNN, RNN, and autoencoders.
- Track record of successful research accomplishments demonstrated through published papers, and/or patent applications in the fields of video coding or video processing.
- Solid programming skills in C/C++ combined with knowledge of at least one machine learning framework such as PyTorch or Tensor Flow.
- 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, computer vision, or machine learning.
- 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 Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Pay range and Other Compensation & Benefits: $ - $
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