Teams at Precision Neuroscience

Owns the end-to-end product lifecycle for machine learning and neural decoding capabilities supporting clinical programs and future brain-computer interface products. Responsibilities include gathering requirements, defining features and success metrics, managing the ML backlog, planning team execution, coordinating clinical data and patient enrollment, and aligning ML work with regulatory, quality, UX, hardware, software, and clinical stakeholders.

Develop and test embedded software for brain-computer interface medical devices. Collaborate with firmware and multidisciplinary teams, present technical findings, contribute to unit and system testing, document software, and debug hardware and firmware using microcontrollers, communication protocols, debugging tools, and laboratory equipment.

Leads mechanical design and development of Class II medical devices, including neuromonitoring devices and navigated surgical instruments. Responsibilities include hands-on design, testing, assembly, DFM/DFA, CAD documentation, integration with navigation systems, quality control, and collaboration with clinical, regulatory, electrical, firmware, and manufacturing teams. The role requires ownership from concept through commercialization in a regulated medical-device environment.