Job Description

Company:Qualcomm Technologies, Inc.

Job Area:Engineering Group, Engineering Group > Multimedia Systems

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 video compression, video processing, point cloud coding and processing, AR/VR and computer vision technologies. 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

• Develop new algorithms for deep learning based end-to-end video compression solution.
• Develop new algorithms extending existing techniques and systems for video compression and processing, computer vision.
• Contribute to the conception, development, implementation, and optimization of new algorithms allowing improved video compression.
• Documents and presents new algorithms and implementations in various forms, including standards contributions, patent applications, conference and journal publications, presentations, etc.
• Represent Qualcomm in standardization organizations (JVET/MPEG/JPEG/3GPP meetings, etc.).
  
  

Ideal Candidate Would Have The Below Skills/experience

• Programming experience in C/C++ applied to image/video coding or processing.
• Knowledge of the theory, algorithms, and techniques used in video and image compression and processing, or machine learning, or computer vision technologies.
• Working knowledge of one or more deep-learning frameworks (PyTorch, TensorFlow, etc.) and python coding skills in training machine learning models.
• Strong written and verbal English communication skills, great work ethic and ability to work in a team environment to accomplish common goals.
  
  

Preferred Qualifications

• PhD degree in Electrical Engineering, Computer Engineering, or Computer Science.
• 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 is a big advantage.
• Prior experience in video compression standardization activities, including, MPEG, JVET, JCTVC, JPEG, etc., with experience in drafting and defending contributions.
• Experience in developing deep learning models.
• Excellent software design, problem solving, and debugging skills.
• Willing and able to travel internationally.
  
  

Physical Requirements

• Monitors and utilizes computers and test equipment for more than 6 hours a day.
• Continuous communication (e.g., on conference calls) which includes the comprehension of information with colleagues, customers, and vendors both in person and remotely.
• Works in the lab, can use hazardous chemicals (e.g., glue, machinery).
  
  

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

ARM Architectures, Audio Processing, C++ Programming Language, Multimedia Systems, Video Coding

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 .