Teams at Precision Neuroscience

Design and implement front-end and back-end systems for a regulated BCI clinical UX and cloud platform. Build real-time and offline rendering engines for high-frequency physiological data, develop APIs and data models, perform rapid prototyping, follow IEC 62304-compliant SDLC, produce documentation, and support clinical teams (travel up to 10%).

Analyze and improve the end-to-end BCI signal acquisition chain, design advanced signal processing (e.g., adaptive filters), model device vs. bench performance, and collaborate with EE, firmware, ML, and software teams to optimize on-device/embedded signal processing for a medical brain-computer interface.