Video Research Engineer (Multiple Levels) - San Diego, California, United States of America
$179,000 - $268,400 USD yearly
Originally posted 1 April 2026 by the employer.
Develop advanced classical and AI-based compression algorithms and represent Qualcomm in standardization bodies like JVET, MPEG Video, and ITU-T/VCEG.
About the role
Qualcomm's Multimedia R&D and Standards Group is seeking candidates for Video Compression Research Engineer positions to develop algorithms, hardware architectures, and systems for classical and machine learning methods in video compression. The work focuses on applications across video codecs, point cloud coding, AR/VR, and computer vision use cases.
What you'll do
- 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 standardization forums including JVET, MPEG Video, and ITU-T/VCEG. - Document and present new algorithms and implementations through standards contributions, patent applications, and conference or journal publications.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, Mathematics, Physics, or related field with 6+ years of Software, Hardware, or Systems Engineering experience (or Master's with 5+ years, or PhD with 4+ years). - Experience with programming languages such as C, C++, or MATLAB. - Background in the theory, algorithms, and techniques used in video and image coding, including video coding standards such as HEVC and VVC. - Experience with deep learning architectures, including CNN, RNN, and autoencoders. - Experience with machine learning frameworks such as PyTorch or TensorFlow.
Nice to have
- Track record of research accomplishments demonstrated through published papers or patent applications in the fields of video coding or video processing. - Masters or PhD degree with work experience or publications in video compression, video/image processing algorithms, computer vision, or machine learning.
Skills: video compression, AI-based compression tools, deep learning architectures, CNN, RNN, PyTorch
This role has been open 200 days — well above the 61-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI ML Hardware
|
Open roles in category
158
|
Median days open
61 d
|
Median salary
$191k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (158 roles · 43 employers) |
|---|---|---|
| Open roles in this specialty | 21 | 158 |
| Open roles in the wider Software, Firmware & Systems family | 735 | 6250 · 144 employers |
| Median days open | 200 d | 61 d (+139 d vs this employer) |
| Median salary (USD postings) | — | $191k |
Skills observed across this category: video compression, AI-based compression tools, deep learning architectures, CNN, RNN, PyTorch
Who's hiring in this category
- NVIDIA · 26 open roles · median 211 d
- Micron Technology · 25 open roles · median 39 d
- Qualcomm (this employer) · 21 open roles · median 199 d
- Infineon Technologies · 12 open roles · median 44 d
- AMD · 8 open roles · median 61 d
- Applied Materials · 4 open roles · median 95 d
How we counted: 158 open Software Engineering Semiconductor (AI ML Hardware) roles from 43 employers tracked in the SemiconductorJobs index, counted 25 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.
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