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Research Scientist

Job

  • Level
    Experienced
  • Job Field
    Software, Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    158.400 to 237.600€ Gross/Year
  • Location
    Munich
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop cutting-edge algorithms and hardware architectures for video compression using machine learning and document your work for international standards and conferences.

    Job Technologies

    Your role in the team

    • Qualcomm's Multimedia R&D and Standards Group is seeking a candidate for the position of Video Compression Research Engineer with a focus on machine learning for video compression.
    • You join a world-renowned team of video compression experts who develop 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.
    • This role offers the opportunity to contribute to groundbreaking advancements in video compression technology and working with a team of experts in a dynamic and collaborative environment.
    • 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 papers and presentations, and journal publications, etc.

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    Our expectations of you

    Education

    • PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields.
    • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
    • Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

    Qualifications

    • Developed innovative artificial intelligence/machine learning algorithms, preferably related to data compression or computer vision.
    • Knowledge of the theory, algorithms, and techniques used in video and image coding.
    • Track record of successful research accomplishments demonstrated through published papers at leading conferences, and/or patent applications.
    • Excellent programming skills including Python and C/C++ combined with knowledge of at least one machine learning framework such as PyTorch.
    • Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals.

    Experience

    • Experience in video compression standards, such as VVC/H.266 or HEVC/H.265, is a significant benefit.
    • 1+ years of experience with programming languages such as C, C++, MATLAB, etc.
    • PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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    Topics that you deal with on the job

    Job Locations

    • Location Munich

      Bayern

      Germany

    This is your employer

    Qualcomm

    Qualcomm

    Qualcomm is a world-leading manufacturer of products and solutions for the mobile communications industry. The company, founded in 1985 and headquartered in San Diego, California, combines its technological expertise with economic success.

    Description

  • Language
    English
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Industry, Production
  • Logo Qualcomm

    Research Scientist

    Salary
    158.400 to 237.600€ Gross/Year
    Location
    Munich
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders
    English Only
    English only required

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