Machine Learning for Video Compression - Principal Scientist

1 Month ago • 6 Years + • $211,900 PA - $317,900 PA
Research Development

Job Description

Qualcomm's Multimedia R&D and Standards Group is seeking candidates for Video Compression Research Engineer positions. 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, AR/VR, and computer vision. The successful candidate will be a highly self-directed individual with strong creative and analytic skills and a passion for video compression technology. Responsibilities include developing new Neural Networks based algorithms for improved video compression, representing Qualcomm in standardization forums, and documenting new algorithms and implementations.
Good To Have:
  • 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.
  • 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++.
  • Knowledge of at least one machine learning framework like PyTorch.
  • Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals.
Must Have:
  • 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.
  • PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.
  • Minimum 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Perks:
  • World-class health benefit option providing world-class coverage to employees and their eligible dependents.
  • Programs designed to help employees build and prepare for a financially secure future.
  • Self and family resources to help build emotional/mental strength and resilience, as well as define purpose.
  • Wellbeing programs and resources to help employees Live+Well and Work+Well.
  • Continuous learning and development programs.
  • Tuition reimbursement.
  • Mentorships.

Add these skills to join the top 1% applicants for this job

communication
cpp
unity
game-texts
pytorch
computer-vision
neural-networks
python
matlab
algorithms
machine-learning

Job Posting Date

2025-08-22

Additional Job Posting Location

Hsinchu City TWN; Munich DEU

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 Neural Networks 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:

  • 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.

Ideal candidate would have the skills/experience below:

  • 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.
  • 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.

Qualifications:

PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.

10+ 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 8+ 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 7+ 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 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

Pay range and Other Compensation & Benefits:

$211,900.00 - $317,900.00

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.

Perks and Benefits

Health

Qualcomm offers a world-class health benefit option providing world-class coverage to employees and their eligible dependents.

Wealth

Our programs are designed to help employees build and prepare for a financially secure future.

Self

Our self and family resources help you build emotional/mental strength and resilience, as well as define your purpose — in life and at work.

Wellbeing

Qualcomm’s wellbeing programs and resources offer support to help employees Live+Well and Work+Well, so they can unlock their full potential at home, at work, and everywhere between.

Unlock Your Limitless Potential with Qualcomm

Whether you’re launching a new career or ready to explore what’s next in the evolution of your talent and expertise, you’re about to embark on a career growth journey like no other.

Bring out your best, with the best

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.

Innovate with technology experts

At Qualcomm, we are passionate about the limitless potential of your career. Only here can you work alongside some of the most respected, leading engineering and technology experts in the industry – helping you learn and grow professionally in ways you haven’t yet imagined.

Live well, work well

Additionally, you’ll have access to programs such as our continuous learning and development programs, tuition reimbursement, and mentorships to tap into your limitless potential – plus, opportunities to enhance your quality of life through our comprehensive, best-in-class benefits offerings.

The work we do at Qualcomm impacts lives around the globe – and you can be part of it. Apply today and unlock your full potential.

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