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Embedded Machine Learning Engineer (Graduate) (f/m/d)

  80331 München
Jetzt bewerben

Stellenbeschreibung

Trainee
Homeoffice: Nach Absprache

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...

Summary

  • Location: Dresden; Munich (Schatzbogen)
  • Type: Full time
  Anstellungsart
Trainee
  Homeoffice
Nach Absprache

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