Video Research Engineer (Multiple Levels)

Qualcomm • San Diego, CA

7d

About The Position

Qualcomm's Multimedia R&D and Standards Group is seeking candidates for Video Compression Research Engineer positions. You will be part of 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.

Requirements

• 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 TensorFlow.
• 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.
• 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.
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees