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    Senior Research Engineer, AI Wireless - Plano, United States - Samsung Research America

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    Description

    Lab Summary:
    The Standards & Mobility Innovation team is committed to developing technologies that enable ubiquitous access to information and provide immersive multimedia experiences for mobility users


    Our research focuses on:
    Wireless standards and technology including 5G/6G, Wi-Fi, FiRa/UWB, MPEG, AOM, CSA Matter, CSA ACWG, CCC, etc

    RF & fast prototyping of 5G and IEEE 802 wireless systems and/or use cases

    Multimedia standards and technology including VR, HDR, All-IP delivery

    IoT standards and Smart Home connectivity/sensing technology


    Position Summary:


    Join SMI lab of Samsung Research America in Plano, TX to contribute to the development of Samsung's vision of next generation of wireless communication technology.

    The candidate shall be responsible for developing, profiling and delivering algorithm, design specification and software for AI empowered wireless communication system.


    Position Responsibilities:
    Design next generation wireless communication products

    Apply AI and machine learning for designing optimized wireless systems targeting different use-cases, and demonstrate improved performance

    Create system specification based on the high-level concept including applying AI and machine learning for wireless systems

    Integrate wireless system simulator with generic machine learning environments, and evaluate performance with AI-in-the-loop simulations or prototyping

    Generate clear, organized technical reports and assist the development of related IPR


    Required Skills:
    Ph.
    D. in Computer Science/Electrical Engineering/Computer Engineering or equivalent combination of education, training, and experience

    The preferred candidate will have 1+ years of industry (or good match academic research) experience in an advanced technology development environment

    Excellent working knowledge using Python and Python based ML modules such as Scikit-learn, Keras, Tensorflow, Keras-RL, PyTorch and Pandas libraries

    Have prior experience implementing machine learning algorithms for solving challenging problems preferably in wireless communication system design

    Hands-on experiencing integrating Python ML modules with wireless system simulators

    Solid background in digital signal processing and wireless communication systems design and different components including digital filters, FFTs, synchronization, channel estimation, equalization, MIMO detection, error-correction codes, etc

    Good understanding of RF system architecture, performance specification and measurement, RF/baseband interface

    Familiar with 3GPP standards

    Excellent verbal communication and technical writing skills

    #J-18808-Ljbffr

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