Brain-Computer Interface Engineers develop systems that translate neural signals into actionable outputs for controlling devices or restoring lost functions. Their work includes designing neural sensors, signal acquisition systems, decoding algorithms, and feedback mechanisms. They combine neuroscience, biomedical engineering, signal processing, and machine learning to interpret brain activity and interface with external systems such as prosthetics, computers, or assistive technologies. They work in research laboratories, medical device companies, and neurotechnology startups. Globally, demand is rising due to advances in neurotechnology, growing interest in human–machine interaction, and applications in rehabilitation, assistive devices, and cognitive enhancement technologies.