College Grad - Yield Enhancement Electrical Failure Analysis Engineer Boise, Idaho, Posted

## New College Grad - Yield Enhancement Electrical Failure Analysis Engineer Boise, Idaho, United States of America Apply Now Find out how well you match with this jobJob :
JR109479
** Our vision is to transform how the world uses information to enrich life for
* all*.
** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
** Department Intro
** The Yield Enhancement organization partners closely with Fab and Yield Engineering teams to monitor manufacturing performance, investigate defect issues, and drive yield improvement through detailed electrical and failure analysis.
** Position Overview
** The Yield Enhancement Electrical Failure Analysis Engineer performs investigative electrical failure analysis to identify, categorize, and resolve defect issues impacting yield. This role combines hands-on electrical characterization, advanced data analytics, automation, and AI-enabled engineering workflows to accelerate defect detection, root cause identification, and yield improvement. The engineer monitors manufacturing performance, prioritizes yield-related investigations, and delivers data-driven insights and clear reporting to support business decisions and continuous improvement.
** Responsibilities
* ** Perform electrical and failure analysis in alignment with defined area skill guidelines and summarize findings using clear, data-driven reporting and AI-assisted documentation tools.
* Operate and support lab equipment while adhering to safety guidelines and supporting department and company objectives.
* Drive root cause investigations by correlating electrical test data, FA results, process information, manufacturing history, and AI-generated insights to identify yield detractors and recommend corrective actions.
* Develop and maintain yield monitoring methodologies, screening strategies, defect classification systems, and AI-assisted detection models to improve excursion response and defect identification accuracy.
* Partner with Design, Process Integration, Product Engineering, Test, Manufacturing, and Data Science teams to resolve yield and reliability issues and drive product quality improvements.
* Develop, automate, and maintain data analysis tools, dashboards, reporting systems, and AI-powered workflows to improve investigation efficiency and reduce manual data processing.
* Apply AI, machine learning, statistical methods, and advanced analytics techniques to accelerate defect identification, yield trending, anomaly detection, predictive analysis, and root cause determination.
* Leverage generative AI and knowledge-management tools to accelerate technical reviews, investigation planning, report generation, and information retrieval.
* Lead technical reviews and communicate investigation results, risks, recommendations, and data-driven insights to cross-functional stakeholders and management.
* Create and maintain technical documentation, best practices, training materials, AI prompt libraries, and knowledge-sharing resources for the organization.
* Evaluate and implement new electrical characterization, debug methodologies, automation solutions, and AI-enabled FA techniques to improve problem-solving capability.
* Support new product introduction (NPI), qualification activities, and technology transfers by providing yield analysis, failure investigation expertise, and data-driven risk assessments.
* Identify opportunities for process improvement, cost reduction, cycle-time reduction, and productivity enhancement through automation, AI adoption, and workflow optimization.
* Provide technical mentorship and training to engineers…