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Embedded Machine Learning / Radar Processing Software Engineering Internship

🚀 Off-cycle Internship

San Jose

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Applications are closed

Off-cycle Internship

Software EngineeringSan Jose


  • Radio Frequency Processing provides the processing power to accelerate automotive design around the vehicle for advanced driver assistance systems, in-vehicle networking, body, chassis, and safety applications.


  • Embedded Software Hands on Skills:
  • Experience in C/C++, Embedded C
  • Experience with setting up custom toolchains with IDEs (Eclipse based), Compilers (GCC), and debuggers (GDB)
  • Experience with HIL testing and embedded system software development using custom APIs
  • Experience with Software Development in embedded Linux environment
  • (Bonus) Experience with hardware emulators (FPGA based) or Cycle Accurate Software simulators of custom AI HW IPs
  • ML Hands-on skills:
  • Knowledge of Python and ML frameworks like PyTorch and Tensorflow
  • Knowledge of embedded ML tools like TFlite, TFlite micro, ONNX toolchains / runtime
  • (Bonus) Experience with custom ML toolchains (NXP eIQ Auto)
  • (Bonus) Experience in deploying AI model on embedded hardware
  • Strong communications, documentation, and presentation skills
  • Highly self-motivated and enjoying solving difficult challenges
  • Currently enrolled in or entering a Master's or PhD degree program in Electrical Engineering, Computer Science, or related fields.
  • In order to be considered for an internship with NXP, you must be returning to school (or graduating) at the conclusion of the internship term. If you are graduating prior to June 2024, please apply for positions labeled “Graduate Hire” or “Entry Level”

Area of Responsibilities

Software Engineering


  • You will be part of the Innovation team in San Jose, California (Silicon Valley) building next-gen automotive radar software and self-driving perception technologies.
  • Opportunities to apply your hands-on software engineering and development skills using various tools like custom IDEs, compilers and SDK for edge SoCs
  • Benchmark custom AI models on NXP hardware and build up the software stack for developing a full radar system PoC.


Work type

Full time

Work mode



San Jose