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Edge AI Software Architect

Posted 4 days ago

OfficeBeijingSE

Responsibilities:

  • Develop and optimize Embedded ML inference engines for microcontrollers.
  • Train and fine-tune machine learning models using TensorFlow and PyTorch to be deployed on resource-constrained devices.
  • Implement and experiment with techniques to improve model performance on low-power and memory-limited devices.
  • Collaborate with cross-functional teams to integrate ML solutions into embedded systems.
  • Conduct research on new machine learning techniques and tools specifically for Embedded ML applications.
  • Optimize machine learning algorithms to meet the performance and resource constraints of embedded systems.
  • Stay up-to-date with the latest advancements in Embedded ML by reading and interpreting technical articles and research papers.

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 programming languages such as C, C++, and Python.
  • Extensive experience in embedded software development and machine learning.
  • Excellent programming skills in at least one of the following: C, C++, or Python.
  • Proven ability to read and understand technical articles and research papers in English.
  • Strong problem-solving skills and attention to detail.
  • Good communication skills and the ability to work collaboratively in a team environment.
  • Preferred Qualifications:
  • Proven experience with deploying machine learning models to embedded devices, specifically for Embedded ML applications.
  • Familiarity with embedded systems, microcontrollers, and real-time operating systems (RTOS).
  • Deep understanding of software development life cycle and best practices for embedded systems.
  • Previous experience in a full-time role or significant project in a related field.
  • Expertise in optimization techniques for low-power and low-latency machine learning models.


More information about NXP in Greater China...

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Job details
Workplace
Office
Location
Beijing
Experience
SE

We anticipate tomorrow’s needs—navigating a changing world by bringing together technology's brightest minds to build game-changing solutions that propel us forward. NXP Semiconductors N.V. (NASDAQ: NXPI) is the trusted partner for innovative solutions in the automotive, industrial & IoT, mobile, and communications infrastructure markets. NXP's "Brighter Together" approach combines leading-edge technology with pioneering people to develop system solutions that make the connected world better, safer, and more secure. The company has operations in more than 30 countries and posted revenue of $12.61 billion in 2024. Find out more at www.nxp.com. Career Development Opportunities : Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills. Commitment At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality. Privacy Policy: https://www.nxp.com/company/about-nxp/privacy-policy-for-social-media-pages:PRIVACY-POLICY-SOCIAL-MEDIA

Employees
22501
Industry
Semiconductor Manufacturing
Headquarters
Eindhoven, Noord-Brabant
Founded
2006
Company location
High Tech Campus 60, Eindhoven, Noord-Brabant 5656 AG, NL
Specialties
Automotive, Industrial, Smart Home, Smart City, Communication Infrastructure, Mobile, Automotive Processors, Microcontrollers, Applications Processors, Analog, Security and Authentication, High Performance Mixed Signal, Sensors, RFID/NFC, Power Management, RF, Interfaces, Audio, and Wireless Connectivity

Key team members

Andrew Stewart

Andrew Stewart

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