Video Research Engineer

2 Months ago • 4-6 Years • Research Development • $179,000 PA - $268,400 PA

Job Summary

Job Description

The Video Research Engineer will be a part of Qualcomm's Multimedia R&D and Standards Group. They will develop algorithms, hardware architectures, and systems for applications in video compression, processing, AR/VR, and computer vision. Responsibilities include developing and optimizing algorithms, developing deep learning-based video compression solutions, and representing Qualcomm in standardization forums. The ideal candidate will have expertise in video coding, experience with deep learning structures, and strong programming skills. They will also contribute to the conception, development, implementation, and optimization of new algorithms extending existing techniques and systems allowing improved video compression. This includes initiating ideas, designing and implementing algorithms for superior hardware encoder performance, including perceptually based bit allocation. They should be capable of documenting and presenting new algorithms and implementations in various forms, including standards contributions, patent applications, conference and journal publications, and presentations.
Must have:
  • Expert knowledge of video and image coding
  • Knowledge of video compression standards
  • Experience with deep learning structures
  • Strong C/C++ programming skills
  • Strong English communication skills
Good to have:
  • Published papers or patent applications
  • Masters or PhD in relevant fields

Job Details


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 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.

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 disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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.

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About The Company

Our employees make Qualcomm’s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. To make that possible, we leverage the breadth and depth of our diverse expertise from around the world to answer the unasked, conquer the complex, and solve some of the biggest challenges only we can – together.

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