Job Description

Company:Qualcomm Technologies, Inc.

Job Area:Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

Qualcomm's Multimedia R&D and Standards Group is seeking candidates for machine learning, video compression and processing technology. You’ll be part of world-renowned team of video compression and deep learning experts. The team develops algorithms, hardware architectures and systems for state-of-the-art applications of classical and machine learning methods for 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 passion for machining learning, video compression and processing technologies. You will work on, but not be limited to, developing new algorithms for video compression and processing as well as machine learning based end-to-end video coding solution.

Responsibilities

• Contribute to the conception, development, implementation, and optimization of new algorithms extending existing techniques and systems allowing improved video compression.
• Develop new algorithms for deep learning-based video compression solutions.
• 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 Below Skills/experience

• Expert knowledge of the theory, algorithms, and techniques used in video and image coding.
• Knowledge and experience in video compression standards, such as VVC, HEVC, H.264 and AV1.
• Experience with deep learning structures CNN, RNN, autoencoder etc. and frameworks like TensorFlow/PyTorch.
• Track record of successful research accomplishments demonstrated through published papers, and/or patent applications in the field of machine learning, or video coding and processing.
• Prior experience in drafting and defending contributions to standards bodies.
• Solid programming and debugging skills in C/C++.
• Strong written and verbal English communication skills, great work ethic and ability to work in a team environment to accomplish common goals.
• Master’s or PhD degree with relevant work experience or publications in the areas of video compression, video/image processing algorithms, computer vision, or machine learning.
  
  

Education

Minimum Qualifications

Bachelors - Computer Science, Bachelors - Engineering, Bachelors - Information Systems

Work Experiences

2+ years of Systems engineering or related work experience.

Skills

Certifications:

Education

Preferred Qualifications

Doctorate - Computer Science, Doctorate - Electrical Engineering, Masters - Computer Science, Masters - Electrical Engineering

Work Experiences

2+ years experience working in one or more multimedia technology areas (i.e., speech, audio, imaging, computer vision, display, sensing, biometrics, augmented/virtual reality). ,4+ years Systems Engineering or related work experience

Skills

Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, 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. Qualcomm is an equal opportunity employer and supports workforce diversity.

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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.

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