Video Research Engineer

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

Job summary

An innovative company is on the lookout for a Video Compression Research Engineer to join their elite team of experts. This role offers a unique opportunity to work on cutting-edge algorithms and systems that leverage both classical and machine learning methods in video compression and processing. As part of a world-renowned group, you will contribute to the development of state-of-the-art video codecs and engage in significant research that impacts the future of video technology. If you are passionate about video compression and eager to make a mark in this exciting field, this position could be the perfect fit for you.

Benefits

Competitive Annual Bonus Program

Annual RSU Grants

Comprehensive Benefits Package

Qualifications

• Expertise in video compression algorithms and techniques.
• Experience with deep learning frameworks and programming languages.

Responsibilities

• Develop and optimize algorithms for improved video compression.
• Represent Qualcomm in standardization forums and document findings.

Skills

Video Compression Technology

Deep Learning Structures (CNN, RNN, Autoencoders)

Programming in C/C++

Analytic Skills

English Communication Skills

Education

PhD in Electrical Engineering, Computer Science, Physics, Mathematics

Master's in Engineering, Information Systems, Computer Science

Bachelor's in Engineering, Information Systems, Computer Science

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.

Responsibilities:

• Contribute to the conception, development, implementation, and optimization of new algorithms extending existing techniques and systems allowing improved video compression.
• Initiate ideas, design and implement algorithms for superior hardware encoder performance, including perceptually based bit allocation.
• Develop new algorithms for deep learning-based video compression solutions.
• 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.

Ideal candidate would have the skills/experience below:

• Expert knowledge of the theory, algorithms, and techniques used in video and image coding.
• Knowledge and experience in video compression standards, such as ECM, VVC, HEVC, AVC, and AV1.
• Experience with deep learning structures CNN, RNN, autoencoder etc. and frameworks like TensorFlow/PyTorch.
• 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 and debugging skills in C/C++.
• 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, computer vision, or machine learning.

Minimum Qualifications:

• PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.
• 1+ years of experience with programming language 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.

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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.

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.

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. 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 – and you can review more details about our US benefits at this link.

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