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Working Student (m/f/d) AI/ML Study for Car Audio Entertainment Systems

Company: NXP Semiconductor, Inc.
Location: Hamburg
Posted on: June 12, 2021

Job Description:

NXP Semiconductors N.V. (NASDAQ: NXPI) enables secure connections for a smarter world, advancing solutions that make lives easier, better, and safer. As the world leader in secure connectivity solutions for embedded applications, NXP is driving innovation in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has approximately 29,000 employees in more than 30 countries and posted revenue of $8.61 billion in 2020.

Your Tasks:

You will be part of the Product Line Infotainment's architecture team within the Business Line Radio Frequency Processing at NXP Hamburg. One of the important components in an automotive infotainment system is the audio processor which is being developed by NXP as a combined broadcast and audio processing so-called System On Chip (SoC) in a state-of-the-art mixed signal RFCMOS semiconductor process technology.

An integral part of such an SoC is the signal processing and control software stack which includes all necessary audio channel processing as well as more sophisticated audio technologies, e.g. for cabin sound enhancements. Modern audio infotainment systems also started making use of new algorithms and techniques from the machine learning (ML) and artificial intelligence (AI) domain especially in cases where no straight forward classical algorithmic solution can be found due to parameter variance or complexity.

The PL infotainment's architecture team intends to make use of these techniques and is looking for ways to map them on their SoCs' embedded compute cores incl. additional neural network (NN) accelerators. As a kick-off we are looking for a working student (m/f/d) to support us in:

  • Establishing a machine learning framework based on Python and JupyterLab

  • Literature study on ML techniques suited for car audio entertainment and processing

  • Prototyping ML algorithms for car audio with Python and JupyterLab

  • Translating ML algorithms into executable C code on general purpose compute cores or DSPs

  • Mapping timing critical ML algorithm portions to specific hardware accelerators like a neural network digital signal processor extension

Your Profile:

  • Enrolled student with focus on Electrical Engineering or Software Engineering

  • Basic knowledge in computer architecture incl. digital signal processors

  • Special interest in artificial intelligence / machine learning and neural network based algorithms

  • Familiar with Python programming language, JupyterLab framework and Python based machine learning packages

  • Basic TensorFlow knowledge

  • Fluent in English language both oral and written

  • Initiative, creative and entrepreneurial attitude

Working time: max. 18 hrs/week

Keywords: NXP Semiconductor, Inc., Buffalo , Working Student (m/f/d) AI/ML Study for Car Audio Entertainment Systems, Other , Hamburg, New York

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