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 state-of-the-art applications of classical and machine learning methods in video compression, video processing, point cloud coding and processing, AR/VR and computer vision use cases.
Requirements
- Knowledge of Neural Networks based data compression.
- Knowledge of the theory, algorithms, and techniques used in video and image coding.
- Experience in video compression standards, such as VVC/H.266 or HEVC/H.265, is considered significant benefit.
- Track record of successful research accomplishments demonstrated through published papers, and/or patent applications preferably in the fields of application of Machine Learning to image or video compression.
- Excellent programming skills including Python and C/C++ combined with knowledge of at least one machine learning framework like PyTorch.
- 10+ years of experience with programming language such as C, C++, MATLAB, etc.
- PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.
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 and journal publications, presentations, etc.
Other
- 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, or machine learning.
- If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process.
- Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
