This is a systems role. Our hardware combines sensitive physiological sensing, mixed-signal electronics, embedded and FPGA systems, high-speed data acquisition, wireless communication, batteries, firmware, mechanical constraints, and eventually custom ASICs. All of those pieces have to work together inside a device that is small, comfortable, stable, and manufacturable.
The difficult part is that this is not ordinary consumer electronics. The hardware is part of the measurement itself. Changing a cable, ground plane, enclosure, sensor position, or power system can alter the data distribution seen by the model. You will work closely with the sensing and ML leads to preserve signal quality while aggressively reducing size, power consumption, and complexity.