Video Research Engineer

Qualcomm; San Diego (CA); Remote; USD 179,000 - 269,000; Full time

Job summary

A leading technology company is seeking a Video Compression Research Engineer to develop innovative algorithms and systems for video compression and processing. The ideal candidate will possess expertise in video standards and deep learning, with a passion for technological advancement. This role offers a competitive salary and the flexibility to work remotely.

Benefits

Competitive annual discretionary bonus program

Potential RSU grants

Comprehensive benefits package

Qualifications

• Expertise in latest video coding standards such as HEVC and VVC.
• Track record of research accomplishments through publications and patents.
• Relevant work experience or publications in video compression or machine learning.

Responsibilities

• Contribute to design and optimization of algorithms for video compression.
• Participate in AI-based compression tools development.
• Document and present algorithms through various formats.

Skills

Expert knowledge of video coding algorithms

Experience with deep learning architectures

Solid programming skills in C/C++

Strong written and verbal communication skills

Education

PhD or Masters in Electrical Engineering, Computer Science or similar

Tools

C/C++

PyTorch

TensorFlow

Job description

Overview

Qualcomm Technologies, Inc. is seeking candidates for Video Compression Research Engineer positions within the Multimedia R&D and Standards Group. You will be part of a world‑renowned team of video compression experts developing 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. The successful candidate will be highly self‑directed with strong creative and analytic skills and a passion for video compression technology. You will work on, but not be limited to, developing new applications of classical and machine learning methods in video compression to improve state‑of‑the‑art video codecs.

We are considering candidates with various levels of experience. We are flexible on location and open to hiring anywhere; preferred locations are USA, Germany and Taiwan.

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 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.

Ideal candidate would have the skills/experience below

• 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 video compression, video/image processing algorithms, computer vision, or machine learning.

Qualifications

• PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.
• 1+ years of experience with programming languages such as C, C++, MATLAB, etc.

Minimum Qualifications

• 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.
• OR 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.
• OR 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.

Qual Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [e-mail] or call Qualcomm’s toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Pay range and Other Compensation & Benefits: $179,000.00 - $268,400.00. The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation at Qualcomm, which includes a competitive annual discretionary bonus program and potential RSU grants. Our benefits package supports success at work, at home, and at play. Your recruiter can discuss all that Qualcomm has to offer, and you can review more details about our US benefits through the linked page.

If you would like more information about this role, please contact Qualcomm Careers.