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Qualcomm Data Compression Engineer - UBWC for compression of AI parameters (w/m/d) in Munich, Germany


Qualcomm CDMA Technologies GmbH

Job Area:

Engineering Group, Engineering Group > Video Standards Engineering

General Summary:

Qualcomm's Multimedia R&D and Standards Group is seeking candidates for UBWC for compression of AI parameters. You will participate in the design, implementation and evaluation of state-of-the-art real-time ultra-low latency hardware AI data compression codecs. You will work with hardware and software teams to come up with optimal solutions based on feedback from key internal and external customers. The successful candidate for this position will be a highly self-directed individual with strong creative and analytic skills and passion for data compression. You will work on, but not be limited to, developing new algorithms for data compression targeting AI parameters.


  • Develop new algorithms for compression of AI parameters.

  • Contribute to the conception, development, implementation, and optimization of new algorithms allowing improved coding efficiency for various data sources and formats.

  • Identify research directions and manage development of codec improvements for both lossy and lossless compression methods.

  • Experience with building efficient ML models through HW/SW co-design.

  • Initiate ideas, design and implement algorithms for superior hardware implementation.

  • Document and present new algorithms and implementations in various forms, 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 Artificial Intelligence (AI) and neural networks (NNs).

  • Compression of AI parameters, neural network compression and representation (NNR).

  • Track record of successful research accomplishments demonstrated through published papers, and/or patent applications in the fields of AI, machine learning and NNs.

  • Understanding of deep learning, machine learning frameworks such as TensorFlow and PyTorch

  • 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.

  • Master’s or PhD degree with relevant work experience or publications in the areas of AI and machine learning.

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

Applicants : If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here ( for assistance. Qualcomm will provide reasonable accommodations, upon request, 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. Qualcomm is an equal opportunity employer and supports workforce diversity.

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

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.

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