Qualcomm
Posted 58 days agoVerified live 5d ago
Video Research Engineer (Multiple Levels)
Brief overview
Remote
MastersOr in progress
$179k–$268k/yrStated range
1+ yrsMinimum
4,325 H-1B approvalsDept. of Labor
390 green cardsCertified filings
Video compression algorithmsHEVCVVCDeep learning architecturesCNNRNNAutoencodersVideo codingVideo processingCC++PyTorchTensorFlowMATLAB
About the company
Qualcommqualcomm.com
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices.
Visa sponsorship history
4 years sponsoring, last filed FY2026H-1B dependent
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.4,325H-1B approved
98%approval rate
1,130new H-1B hires
390PERM certified
$152,479median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231,438
20241,291
20251,343
2026253
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
2023328
2024304
2025284
2026378
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
2023245
202488
202527
202630
Top sponsored roles
Senior Software EngineerSenior ASICS EngineerSenior Staff CPU EngineerStaff GPU EngineerSenior Staff ASICS Engineer
Sponsored employees from
IndiaChinaTaiwanSouth KoreaCanada
Job description
Summary
Qualcomm is a leading company in multimedia R&D and standards, seeking candidates for Video Compression Research Engineer positions. The role involves developing algorithms and systems for video compression and processing, leveraging both classical and machine learning methods.
Responsibilities
- Contribute to the design, implementation, and optimization of advanced algorithms to improve video compression efficiency
- Participate in the research and development of AI-based compression tools
- 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 and journal publications, etc
Skills
- Expert knowledge of the theory, algorithms, and techniques used in video and image coding, including latest video coding standards such as HEVC and VVC
- Experience with deep learning architectures, including CNN, RNN, and autoencoders
- Track record of successful research accomplishments demonstrated through published papers, and/or patent applications in the fields of video coding or video processing
- Solid programming skills in C/C++ combined with knowledge of at least one machine learning framework such as PyTorch or TensorFlow
- Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals
- Masters or PhD degree with relevant work experience or publications in the areas of video compression, video/image processing algorithms, computer vision, or machine learning
- 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 Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience
- Master's degree in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience
- PhD in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience
Qualifications
Must Haves
- Expert knowledge of the theory, algorithms, and techniques used in video and image coding, including latest video coding standards such as HEVC and VVC
- Experience with deep learning architectures, including CNN, RNN, and autoencoders
- Track record of successful research accomplishments demonstrated through published papers, and/or patent applications in the fields of video coding or video processing
- Solid programming skills in C/C++ combined with knowledge of at least one machine learning framework such as PyTorch or TensorFlow
- Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals
- Masters or PhD degree with relevant work experience or publications in the areas of video compression, video/image processing algorithms, computer vision, or machine learning
- 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 Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience
- Master's degree in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience
- PhD in Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience
Benefits
- Competitive annual discretionary bonus program
- Opportunity for annual RSU grants
- Highly competitive benefits package designed to support your success at work, at home, and at play
- Review more details about our US benefits at this link
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