New College Grad - Yield Enhancement Electrical Failure Analysis Engineer

Micron • Boise, ID

2d

About The Position

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.

Requirements

• Bachelor's or master's degree in Electrical Engineering, Computer Engineering, Materials Science, Computer Science, Data Science, or Chemical Engineering.
• Ability to apply knowledge of semiconductor devices, process integration, memory architecture, and device operation to analyze electrical failures and yield issues.
• Ability to perform electrical and failure analysis as defined by area skill guidelines.
• Experience conducting advanced data analysis, statistical evaluation, and data visualization to support yield investigations and failure analysis results.
• Proficiency with data analytics, scripting, automation, or programming tools (e.g., Python, SQL, JMP, Power BI, Tableau, or equivalent).
• Ability to leverage AI tools, large language models, and automation technologies to improve data processing, engineering productivity, investigation efficiency, and technical reporting.
• Ability to summarize investigation findings, including potential root cause and recommended actions, in a concise and technically sound report.
• Ability to operate lab equipment safely and perform required tasks and basic troubleshooting.

Nice To Haves

• Experience applying AI, machine learning, predictive analytics, or large language models to engineering, failure analysis, manufacturing, or yield improvement workflows.
• Experience developing automated data processing pipelines, dashboards, engineering applications, or workflow automation solutions.
• Experience mentoring or assisting failure analysis technicians during yield investigations.
• Familiarity with Merlin/Raptor tester platforms, emission tools, MPI probe stations, nanoprobe tools, and associated data analysis environments.
• Experience maintaining technical knowledge of semiconductor device structure, operation, and failure mechanisms for current and future technologies.
• Demonstrated participation in digital transformation, AI adoption, continuous improvement initiatives, or cross-functional technical projects.
• Willingness to evaluate emerging AI technologies and drive adoption of innovative engineering solutions that improve team effectiveness and productivity.

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 and technicians on semiconductor device operation, failure mechanisms, data analytics, AI-assisted engineering tools, and debug methodologies.
• Champion AI-enabled ways of working by identifying, evaluating, and implementing emerging technologies that improve engineering productivity, technical insight generation, and decision-making.
• Manage and prioritize multiple investigations simultaneously while ensuring timely communication of critical findings and business-impacting issues.

Benefits

• Choice of medical, dental and vision plans
• Benefit programs that help protect your income if you are unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level