Teams at Tacit

Lead architecture, development, and productionization of embedded firmware for battery-powered wearable neurotech/audio devices. Own realtime data acquisition, connectivity, power management, bootloaders, OTA, debugging, validation, manufacturing test systems, and reliability practices while collaborating cross-functionally to optimize performance and power.

Design, implement, and optimize embedded firmware and NPU/DSP runtimes for on-device ML. Build realtime sensor-to-inference pipelines, optimize latency, memory, and power, debug hardware/firmware interactions, and collaborate with ML, electrical, and product teams to deliver production-grade edge intelligence.

Lead end-to-end sensing system architecture for a consumer wearable: set multi-generation roadmap and KPIs (SNR, power, thermal), co-design hardware with ML, drive R&D on novel sensors, integrate multimodal signals, lead a small sensing team, and ensure manufacturability and regulatory readiness.