Artificial Intelligence for Video Compression - Research Scientist

Summary

Qualcomm Technologies, Inc. is seeking a Video Compression Research Engineer with a focus on machine learning for video compression. The role involves developing algorithms and systems for advanced video compression technologies while collaborating with a team of experts in a dynamic environment.

Responsibilities

• Contribute to the conception, development, implementation, and optimization of new Neural Networks based algorithms allowing improved video compression
• 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 papers and presentations, and journal publications, etc

Skills

• PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields
• 1+ years of experience with programming language such as C, C++, MATLAB, etc
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• Excellent programming skills including Python and C/C++ combined with knowledge of at least one machine learning framework such as PyTorch
• Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals
• Developed innovative artificial intelligence/machine learning algorithms preferably related to data compression or computer vision
• Experience in video compression standards, such as VVC/H.266 or HEVC/H.265, is a significant benefit
• Track record of successful research accomplishments demonstrated through published papers at leading conferences, and/or patent applications

Qualifications

Must Haves

• PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields
• 1+ years of experience with programming language such as C, C++, MATLAB, etc
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• Excellent programming skills including Python and C/C++ combined with knowledge of at least one machine learning framework such as PyTorch
• Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals

Nice to Haves

• Developed innovative artificial intelligence/machine learning algorithms preferably related to data compression or computer vision
• Experience in video compression standards, such as VVC/H.266 or HEVC/H.265, is a significant benefit
• Track record of successful research accomplishments demonstrated through published papers at leading conferences, and/or patent applications

Benefits

• Competitive annual discretionary bonus program
• Opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus)
• Highly competitive benefits package is designed to support your success at work, at home, and at play