Also called: Product Yield Engineer
Detective of the chip fab: finds out why some chips on a wafer don't work and fixes the cause so more good chips come out.
You pull up a colorful map of a wafer showing dead chips clustered at one edge. You dig through data from 800 process steps, find that one cleaning tool started acting up Tuesday, and prove it with test wafers. Raising yield by 1% can be worth millions of dollars.
Estimate.
Approximate: anchored on Bureau of Labor Statistics data for a broader job group.
Bachelor's degree (4-year), about 4 years after high school. Bachelor's in electrical, chemical or materials engineering; data analysis skills are key.
Ways in: 4-year college, Graduate school. Training cost: $15k – $60k.
Majors to look at: Electrical Engineering, Chemical Engineering, Materials Science & Engineering, Statistics.
Growing much faster than average. No separate BLS projection; the CHIPS Act is funding many new US fabs.
Medium risk for 10 years. AI defect classification and analytics now do much of the data sleuthing; engineers still own root-cause fixes, but junior roles shrink.
Classes: AP Statistics, AP Calculus, AP Chemistry, AP Computer Science.
Official data: O*NET occupation 17-2199.
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.