Video Research Engineer

Qualcomm; San Diego (CA); On-site; USD 148,000 - 223,000; Full time

Job summary

An established industry player is seeking a Video Compression Research Engineer to join their innovative team. In this role, you will contribute to groundbreaking advancements in video compression technology, utilizing both classical and machine learning methods. You will work on developing new algorithms and optimizing existing systems, impacting applications across various domains including AR/VR and computer vision. The ideal candidate will possess strong programming skills and a deep understanding of video codecs, with a passion for pushing the boundaries of video technology. This opportunity promises to be both challenging and rewarding, perfect for those eager to make significant contributions in a dynamic environment.

Benefits

Competitive annual bonus

RSU grants

Comprehensive benefits package

Flexible working hours

Qualifications

• Expert knowledge of video and image coding theory and algorithms.
• Experience with video codecs like HEVC and AV1.

Responsibilities

• Develop and optimize algorithms for video compression.
• Document and present new algorithms and implementations.

Skills

Video Compression Algorithms

Deep Learning Structures

C/C++ Programming

Video Codecs Knowledge

Analytic Skills

English Communication

Education

PhD in Electrical Engineering

Master's in Computer Science

Bachelor's in Engineering

Tools

TensorFlow

PyTorch

MATLAB

Job description

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Video Standards Engineering

General Summary:

Qualcomm's Multimedia R&D and Standards Group is seeking candidates for Video Compression Research Engineer positions. You will be part of a world-renowned team of video compression experts. The team develops 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 for this position will be a highly self-directed individual 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 improving 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:

1. Contribute to the conception, development, implementation, and optimization of new algorithms extending existing techniques and systems allowing improved video compression.
2. Initiate ideas, design and implement algorithms for superior hardware encoder performance, including perceptually based bit allocation.
3. Develop new algorithms for deep learning-based video compression solutions.
4. Represent Qualcomm in the related standardization forums: JVET, MPEG Video, and ITU-T/VCEG.
5. Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference and journal publications, presentations, etc.

Ideal candidate would have the skills/experience below:

1. Expert knowledge of the theory, algorithms, and techniques used in video and image coding.
2. Knowledge and experience of video codecs and their test models, such as ECM, VVC, HEVC, and AV1.
3. Experience with deep learning structures CNN, RNN, autoencoder, etc., and frameworks like TensorFlow/PyTorch.
4. Track record of successful research accomplishments demonstrated through published papers, and/or patent applications in the fields of video coding or video processing.
5. Solid programming and debugging skills in C/C++.
6. Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals.
7. PhD or Master's degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar field, or equivalent practical experience.

Qualifications:

1. PhD or Master's degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.
2. 2+ 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 4+ 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 3+ 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 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

Qualcomm is an equal opportunity employer. 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. You may e-mail [e-mail] or call Qualcomm's toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028). Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

Pay range and Other Compensation & Benefits:

$148,300.00 - $222,500.00

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. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate).