Wearable embedded intelligent algorithm engineer

<br>Duties:<br><br>Implement model compression, quantization, acceleration and deployment based on hardware platforms (Nordic / STM32 / ESP32 / Apollo / TI, etc.).<br>Collaborate with the algorithm team to convert MATLAB/Python prototype models to C/C++, RTOS or TinyML executable versions.<br>Optimize algorithm delay, memory usage and power consumption to ensure real-time requirements for low-power wearable devices such as watches/rings/patches.<br>Support sensor (PPG/ECG/pressure/temperature, etc.) data link for data acquisition, synchronization, filtering and real-time processing.<br>Assist the hardware team in product debugging, validation and mass production import.<br>Requirements:<br>Proficient in embedded software development (C/C++) , familiar with MCU architecture, low-power processing and RTOS.<br>Have TinyML / TFLM / CMSIS-NN / Edge Impulse / ONNX Runtime Mobile, etc. Edge AI deployment experience is preferred.<br>Familiar with sensor data processing (PPG/ECG/IMU/pressure) is preferred.<br>Applicants with experience in wearable devices, medical electronics or IoT products are preferred.<br>Have algorithm understanding ability, be able to read and migrate ML/DL models to embedded platforms.<br><br>Have health monitoring devices, blood pressure algorithms, PPG/ECG signal processing experience.<br>Familiar with BLE, dynamic synchronization, power management, OTA, etc., the core modules of wearable devices.<br>Participated in medical-grade product development or clinical validation processes.