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Research Engineer - Machine Learning for Video Compression

A global leader in wireless technology innovation and development of advanced semiconductor solutions.
$140,800 - $211,200
Machine Learning
Staff Software Engineer
Remote
5,000+ Employees
1+ year of experience
AI

Description For Research Engineer - Machine Learning for Video Compression

Qualcomm Technologies is seeking a Research Engineer specializing in Machine Learning for Video Compression to join their Multimedia R&D and Standards Group. This role offers an exciting opportunity to work with a world-renowned team of video compression experts, developing cutting-edge algorithms and systems that combine classical and machine learning methods for video compression, processing, and AR/VR applications.

The position involves developing innovative Neural Network applications to enhance state-of-the-art video codecs, working alongside industry experts in a collaborative environment. The role is flexible on location, with preferred locations in USA, Germany, and Taiwan. The ideal candidate will be self-directed with strong creative and analytical skills, bringing expertise in both machine learning and video compression technologies.

Qualcomm offers a comprehensive benefits package including competitive base salary ($140,800 - $211,200), annual bonuses, RSU grants, and extensive health benefits. The company provides a supportive environment for professional growth, with opportunities to contribute to groundbreaking technological advancements and industry standards.

The role requires a PhD or Masters in relevant fields, with demonstrated expertise in Neural Networks, video compression, and programming. Success in this position demands both technical excellence and strong communication skills, as you'll be representing Qualcomm in important industry forums and contributing to patents and publications.

Join a company at the forefront of technological innovation, where your work will directly impact the future of video compression technology and contribute to Qualcomm's continued leadership in wireless technology and semiconductor solutions.

Last updated a day ago

Responsibilities For Research Engineer - Machine Learning for Video Compression

  • Develop and implement 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 through standards contributions, patent applications, and publications
  • Contribute to groundbreaking advancements in video compression technology

Requirements For Research Engineer - Machine Learning for Video Compression

Python
  • PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields
  • 1+ 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)
  • Excellent programming skills including Python and C/C++
  • Knowledge of machine learning frameworks such as PyTorch
  • Strong written and verbal English communication skills
  • Track record of research accomplishments through published papers

Benefits For Research Engineer - Machine Learning for Video Compression

Medical Insurance
401k
Equity
  • Competitive annual discretionary bonus program
  • Annual RSU grants
  • Comprehensive health benefits
  • Educational support
  • Work-life balance programs

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