Supports development, training, evaluation, pruning, and deployment validation of keyword spotting and audio event detection models for ultra-low-power edge hardware. Works on audio feature extraction, data curation, hard-negative mining, augmentation, false-accept diagnostics, model efficiency, quantization, and experiment analysis while collaborating with ML, DSP, and hardware/firmware engineers.

Lead a global Applications Engineering team supporting MEMS microphones and vibration sensors for edge AI products. Serve as primary technical resource for customers and sales, define sensor product roadmaps with Product and R&D, produce demos/reference designs/documentation, drive customer success, and collaborate cross-functionally. Travel up to 25%.