FY27 Intern - Multimedia R&D Intern – Video & AI - 6 months, Stockholm (Bromma) - Sweden

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General Summary:

General Summary

Qualcomm's Multimedia R&D and Standards Group is seeking master’s degree student interns interested in video compression technology. You will 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 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, passion for video compression and processing technologies. You will work on, but not be limited to, developing new algorithms for video compression.

Responsibilities

• Contribute to the conception, development, implementation, and optimization of new algorithms extending existing techniques and systems allowing improved video compression.
• Initiate ideas, design and implement algorithms for superior hardware encoder performance, including perceptually based bit allocation.
• Develop new algorithms improving video compression efficiency.
  
  

Skills/experience

Ideal candidate would have the skills/experience below:

• 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 fields of machine learning, video coding, or video processing.
• 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.
• Pursuing master’s degree in the areas of video compression, video/image processing algorithms, computer vision, or machine learning.
  

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

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