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Software Engineer - Edge AI

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Software Engineer - Edge AI in Others

  • NXP Semiconductors
  • Full time
  • Email
  • Beijing, China

Responsibilities

  • Develop and optimize Embedded ML inference engines for microcontrollers.
  • Train and fine-tune machine learning models using TensorFlow and PyTorch for resource-constrained devices.
  • Optimize machine learning algorithms and models for low-power, low-latency, and memory-limited embedded systems.
  • Integrate ML solutions into embedded systems with cross-functional teams.
  • Research new machine learning techniques and tools for Embedded ML applications.
  • Read and interpret technical articles and research papers related to Embedded ML.

Requirements

  • Bachelor’s or master’s degree in Computer Science, Electrical Engineering, or a related field.
  • Strong experience with TensorFlow and PyTorch for model training and deployment.
  • Proficiency in C, C++, and Python, with excellent programming ability in at least one of these languages.
  • Extensive experience in embedded software development and machine learning.
  • Ability to read and understand technical articles and research papers in English.
  • Strong problem-solving, attention to detail, communication, and collaboration skills.
  • Preferred qualifications include deploying ML models to embedded devices, familiarity with microcontrollers and RTOS, and expertise in optimization for low-power and low-latency ML models.
  • Working knowledge of the NXP MCU SDK is a strong plus.
  • Experience coordinating project deliverables and communicating with global teams across time zones is a plus.

NXP Semiconductors

NXP Semiconductors designs and supplies microcontrollers, application processors (i.MX), analog/RF, secure connectivity, and automotive chips for OEMs in automotive, industrial/IoT, mobile, and communications infrastructure markets. A public company (NASDAQ: NXPI) founded in 2006 and headquartere...

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