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Systems Engineer

NXP SemiconductorsSan Jose, CA

About The Position

Design and engineering processes to advance the activities of the MCU/MPU Engineering business unit. Serve as part of the Innovation team building next generation automotive radar and self-driving perception technologies using advanced signal processing algorithms and machine learning techniques. Responsible for producing differentiating and practice solutions addressing automotive radar signal processing and AI/ML challenges such as high-resolution imaging, massive MIMO, interference mitigation and perception. Collaborate with teams on maturing the radar algorithms and AI software stack by developing extensive validation pipelines and KPIs for different radar algorithm and AI applications. Develop prototype solutions and interface with other engineering teams and gain exposure to the entire software development lifestyle (including annotated data collection, database management and data analysis).

Requirements

  • Master’s degree in Electrical Engineering, Computer Engineering, Robotics and Autonomous Systems, foreign equivalent or related field.
  • Three (3) years of experience in job offered, researcher, or related occupation.
  • C/C++ and Python programming
  • ML framework like PyTorch and Tensorflow
  • Visualization tools like Tensorboard, Ubuntu or any Debian OS
  • Matlab
  • Robot Operating Systems
  • Radar and matured algorithms

Responsibilities

  • Design and engineering processes to advance the activities of the MCU/MPU Engineering business unit.
  • Serve as part of the Innovation team building next generation automotive radar and self-driving perception technologies using advanced signal processing algorithms and machine learning techniques.
  • Produce differentiating and practice solutions addressing automotive radar signal processing and AI/ML challenges such as high-resolution imaging, massive MIMO, interference mitigation and perception.
  • Collaborate with teams on maturing the radar algorithms and AI software stack by developing extensive validation pipelines and KPIs for different radar algorithm and AI applications.
  • Develop prototype solutions and interface with other engineering teams.
  • Gain exposure to the entire software development lifestyle (including annotated data collection, database management and data analysis).

Benefits

  • health insurance
  • dental insurance
  • vision insurance
  • 401(k)
  • paid leave

Career Resources

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