Job Description

Job description


We are seeking a highly skilled software/ML engineer to join the Wearable System Architect team and work on power and performance optimization of on device ML.


The area of focus and main problems to address are:

  • Provide ML workload partition definition based on PnP characterization of ML accelerators.

  • Provide clear PnP guidelines for ML model architectural exploration

  • End-to-End power and performance optimization of AI driven use cases.

  • Collect power and performance measurement results and traces of ML benchmarks (e.g., MLPerf-Tiny).
    Execute ML benchmarks under different on-device configurations, for example: Execute ML benchmark on different on device ML accelerators.
    Execute ML benchmark on slow/external memory and fast/internal memory

    For this, the candidate needs to able to compile an existing ML model against different ML accelerators using corresponding ML compilers. The c...

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