Machine Learning for Video Compression - Principal Scientist

A global leader in wireless technology innovation developing advanced semiconductors and software for mobile devices and networks.
$211,900 - $317,900
Machine Learning
Principal Software Engineer
Hybrid
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS

Description For Machine Learning for Video Compression - Principal Scientist

Qualcomm's Multimedia R&D and Standards Group is seeking a Principal Scientist for video compression research. This role is part of a world-renowned team of video compression experts developing cutting-edge algorithms, hardware architectures, and systems for state-of-the-art applications of classical and machine learning methods in video compression. The position focuses on developing new applications of Neural Networks in video compression to improve state-of-the-art video codecs. The role offers the opportunity to work with leading experts in the field, contribute to international standards, and drive innovation in video compression technology. The position comes with competitive compensation including base salary, annual bonus, RSU grants, and comprehensive benefits. Qualcomm provides a collaborative environment where you can work on breakthrough technologies while maintaining work-life balance. The role offers flexibility in location with options in the USA, Germany, and Taiwan, making it an ideal opportunity for those seeking to make a significant impact in the field of video compression and machine learning.

Last updated 2 months ago

Responsibilities For Machine Learning for Video Compression - Principal Scientist

  • Contribute to the conception, development, implementation, and optimization of new Neural Networks based algorithms for improved video compression
  • Represent Qualcomm in standardization forums: JVET, MPEG Video, and ITU-T/VCEG
  • Document and present new algorithms and implementations in various forms

Requirements For Machine Learning for Video Compression - Principal Scientist

Python
  • PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields
  • 10+ years of experience with programming languages such as C, C++, MATLAB
  • Knowledge of Neural Networks based data compression
  • Experience in video compression standards (VVC/H.266 or HEVC/H.265)
  • Strong programming skills in Python and C/C++ with knowledge of machine learning frameworks like PyTorch
  • Strong written and verbal English communication skills

Benefits For Machine Learning for Video Compression - Principal Scientist

Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
Mental Health Assistance
  • Competitive annual discretionary bonus program
  • Annual RSU grants
  • Comprehensive health benefits
  • Educational assistance
  • 401k program

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