Artificial Intelligence for Video Compression - Research Scientist - San Diego, California, United States of America
$158,400 - $237,600 USD yearly
Originally posted 1 April 2026 by the employer.
Develop neural network-based video compression algorithms for JVET, MPEG Video, and ITU-T/VCEG standardization.
About the role
Qualcomm's Multimedia R&D and Standards Group is seeking a Research Scientist focused on machine learning for video compression. The role focuses on developing neural networks based algorithms, hardware architectures, and systems for video compression, video processing, point cloud coding, AR/VR, and computer vision use cases.
What you'll do
- Contribute to the conception, development, implementation, and optimization of new neural networks based algorithms for video compression. - Represent Qualcomm in standardization forums including JVET, MPEG Video, and ITU-T/VCEG. - Document and present new algorithms and implementations in standards contributions, patent applications, conference papers, and journal publications.
What you'll need
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field with 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related experience (or Master's degree with 3+ years, or PhD with 2+ years). - Experience with programming languages such as C, C++, or MATLAB. - Experience developing artificial intelligence and machine learning algorithms. - Knowledge of the theory, algorithms, and techniques used in video and image coding.
Nice to have
- Experience in video compression standards such as VVC/H.266 or HEVC/H.265. - Research track record demonstrated through published conference papers or patent applications. - Programming skills in Python and C/C++ combined with knowledge of a machine learning framework such as PyTorch. - PhD or Master's degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.
Skills: Neural Networks, video compression, AI/ML algorithms, deep learning frameworks, Python, C/C++
This role has been open 200 days — well above the 87-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
87 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (506 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 104 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 735 | 6250 · 144 employers |
| Median days open | 116 d | 87 d (+29 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: Neural Networks, video compression, AI/ML algorithms, deep learning frameworks, Python, C/C++
Who's hiring in this category
- Qualcomm (this employer) · 105 open roles · median 116 d
- NVIDIA · 89 open roles · median 58 d
- AMD · 33 open roles · median 107 d
- Micron Technology · 26 open roles · median 59 d
- Mobileye · 20 open roles · median 85 d
- Analog Devices · 18 open roles · median 43 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 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.