Embedded Machine Learning Engineer

Job Summary:

• You will be part of the Innovation team building next-gen automotive radar 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

Job Qualifications:

• Bachelor/Master Degree in Electrical Engineering, Computer Science, or related fields
• 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
  • Knowledge of AI model optimization techniques like quantization, pruning etc.
  • (Bonus) Experience with custom ML toolchains (NXP eIQ Auto)
  • (Bonus) Experience in deploying AI model on embedded hardware
• Embedded Software Hands on Skills
  • Experience in C/C++, Embedded C
  • Experience with setting up custom toolchains with IDEs (Eclipse based), Compilers (GCC etc), and debuggers (GDB) including HIL testing (JTAG)
  • 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
• Strong communications, documentation, and presentation skills
• Highly self-motivated and enjoying solving difficult challenges
• Fluent in English

More information about NXP in Germany...