Micron
Yield Analysis Engineer
Boise, ID - ID1 · Full-time · Posted Oct 16, 2026
- Experience
- 3+ years of semiconductor manufacturing; 2+ years in the listed semiconductor device topics and data analysis tools.
- Education
- Bachelor’s degree in Electrical Engineering, Materials Science, Physics, or a related technical field.
About the job
Analyzes semiconductor manufacturing data to identify yield losses and root causes, and works with engineering teams to improve fab yield.
What you'll do
- Monitor probe yields, identify excursions, and characterize yield loss against targets.
- Use statistical and data-mining methods to find root causes and prioritize yield improvements.
- Collaborate with engineering and failure-analysis teams to correlate data and resolve issues; develop shared analytical methods and automation.
What they ask for
- Bachelor’s degree in Electrical Engineering, Materials Science, Physics, or a related technical field.
- 3+ years of semiconductor manufacturing experience.
- 2+ years of experience in semiconductor physics, transistor operation, device scaling, reliability, CMOS circuits, and characterization methods.
- 2+ years using data analysis tools such as JMP, Python, or similar software; experience using AI, machine learning, or generative AI tools for analysis, automation, and productivity.
Nice to have
- Master’s degree in Computer Science, Engineering, or a related technical field; DRAM manufacturing experience.
- 2-4 years of Yield Analysis or RDA experience in high-volume manufacturing; experience with defect inspection, metrology, process control, and failure analysis.
Tools
JMP, Python
AI focus
Use AI, machine learning, and generative AI tools to enhance data analysis, automate workflows, and improve engineering productivity; preferred AI-assisted analytics for data interpretation, anomaly detection, and yield improvement.
Model-written summary · the original posting is authoritative