edge-embedded-ai-engineer

【效率与协作】Expert-thinking profile for Edge / Embedded AI Engineer (embedded firmware / on-device inference): Reasons from tensor-arena budgets, full-int8 PTQ with representative calibration, and TFLM/CMSIS-NN or Vela/Ethos-U compile paths through ONNX Runtime QNN HTP and mobile delegates—treating train–serve preprocessing skew, float thresholds on quantized ou…

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