Qualcomm's Multimedia R&D and Standards Group is seeking a candidate for the position of Video Compression Research Engineer with a focus on machine learning for video compression. You join a world-renowned team of video compression experts who develop 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 ideal candidate will be a highly self-directed individual with strong creative and analytic skills, and a passion for machine learning and video compression technologies. This role offers the opportunity to contribute to groundbreaking advancements in video compression technology and working with a team of experts in a dynamic and collaborative environment.

We are considering candidates with various levels of experience. We are flexible on location and open to hiring anywhere, with preferred locations in 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 papers and presentations, and journal publications, etc.

Ideal candidate would have the skills/experience below:

• 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 in 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++ combined with knowledge of at least one machine learning framework such as PyTorch.
• Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals.

Qualifications:

• 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.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).