Also called: Brain-Inspired Computing Engineer
Designs computer chips that work like the human brain to run AI using far less power.
You program a chip that uses "spikes" like real neurons, and test whether it can recognize sounds while using a thousandth of the power of a normal chip. Much of the work is research and experiments.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Doctorate (PhD), about 9 years after high school. Master's or PhD in electrical engineering, computer engineering or neuroscience.
Ways in: 4-year college, Graduate school. Training cost: $15k – $60k.
Majors to look at: Electrical Engineering, Computer Engineering, Neuroscience.
Growing faster than average. Small research field with growing industry interest.
Low risk for 10 years. Brain-inspired chips are early research; inventing new hardware stays deep human engineering.
Classes: AP Physics C, AP Biology, AP Calculus BC.
Official data: O*NET occupation 17-2061.
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.