Embedded Machine Learning Engineer
vor 3 Monaten
Job ID: R-10053609
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
- 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
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