New Grad: AI-Driven Yield Failure Analysis Engineer

Micron Technology, Inc.; Boise (ID); Vor Ort; USD 65.000 - 80.000; Vollzeit

Benefits dieser Stelle

Medical, dental and vision plans

Paid time off

Paid holidays

Zusammenfassung

Micron Technology, Inc. in Boise, Idaho, is seeking a New College Grad Yield Enhancement Electrical Failure Analysis Engineer to join the team.

This role blends electrical characterization, data analytics, automation, and AI-enabled workflows to accelerate defect detection and yield improvement. You will collaborate across Design, Process, Product Engineering, Test, Manufacturing, and Data Science to deliver data-driven insights and reports.

Qualifikationen

• Bachelor's or master's degree in a related engineering or science field.
• Experience with data analysis, statistics, and data visualization.
• Proficiency in Python and SQL for data processing.
• Ability to apply AI/ML tools to engineering workflows.
• Strong communication and documentation skills.

Aufgaben

• Perform electrical failure analysis to identify, categorize, and resolve yield-impacting defects.
• Operate and maintain lab equipment safely; document findings.
• Develop AI-assisted detection models and data dashboards.
• Collaborate with Design, Process, Test, Manufacturing, and Data Science teams.
• Mentor technicians and present results to stakeholders.

Kenntnisse

Python

SQL

Data analytics

Automation

AI tools

Ausbildung

Bachelor's or Master's in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or Chemical Engineering

Tools

Merlin/Raptor platforms

MPI probe stations

Nanoprobe tools

Emission tools

Jobbeschreibung

Micron Technology, Inc. in Boise, Idaho, is seeking a New College Grad Yield Enhancement Electrical Failure Analysis Engineer to join the team.

This role blends electrical characterization, data analytics, automation, and AI-enabled workflows to accelerate defect detection and yield improvement. You will collaborate across Design, Process, Product Engineering, Test, Manufacturing, and Data Science to deliver data-driven insights and reports.