Qualcomm
Video Research Engineer (Multiple Levels)
$187K–$280K
San Diego, California · On-site · Full-time · Posted Sep 17, 2026
- Experience
- Minimum qualifications specify 6+ years of related work experience with a bachelor's degree, 5+ years with a master's degree, or 4+ years with a PhD. Also states 1+ years of programming experience. The ideal-candidate section asks for a master's or PhD with relevant work experience or publications.
- Education
- Bachelor's, master's, or PhD in a specified or related field; the ideal-candidate section specifies a master's or PhD.
About the job
Research and develop algorithms, architectures, and systems that improve video compression and advance related applications of classical and machine learning methods.
What you'll do
- Design, implement, and optimize algorithms to improve video compression efficiency, including AI-based compression tools.
- Represent Qualcomm in video standardization forums and document or present research through standards contributions, patent applications, and publications.
- Develop video compression, processing, point-cloud, AR/VR, and computer-vision applications.
What they ask for
- Expert knowledge of video and image coding theory, algorithms, techniques, and standards such as HEVC and VVC.
- Experience with deep learning architectures, including CNN, RNN, and autoencoders.
- Strong C/C++ programming skills and knowledge of at least one machine learning framework, such as PyTorch or TensorFlow.
- Strong written and verbal English communication skills.
Nice to have
- Published research papers and/or patent applications in video coding or video processing.
- Experience with MATLAB or other programming languages named in the posting.
Pay
$186,700.00 - $280,100.00 USD base salary
Tools
HEVC, VVC, CNN, RNN, C/C++, PyTorch, TensorFlow, MATLAB
AI focus
Research and development of AI-based compression tools and applications of machine learning methods in video compression.
Model-written summary · the original posting is authoritative