Also called: Neuroengineer, Brain-Computer Interface Engineer
Builds devices that connect to the brain and nerves, like brain implants that let paralyzed people control computers.
You analyze electrical signals recorded from a brain implant while a volunteer imagines moving a cursor. You tune the decoding algorithm so the cursor moves more smoothly, then meet with neurosurgeons to plan the next trial.
Startups in brain-computer interfaces may pay more with stock.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Doctorate (PhD), about 9 years after high school. PhD in biomedical engineering, neuroscience or electrical engineering is typical.
Ways in: 4-year college, Graduate school. Training cost: $15k – $60k.
Majors to look at: Biomedical Engineering, Bioengineering, Neuroscience, Electrical Engineering.
Growing faster than average (about 5% over 10 years). Tracks biomedical engineers; neurotech is a fast-growing niche.
Low risk for 10 years. AI decodes brain signals far better than before, which grows this field; building implants and safe human trials stay human.
Classes: AP Biology, AP Physics, AP Computer Science, AP Calculus.
Official data: O*NET occupation 17-2031.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.