Senior AI-Driven Yield & Electrical Failure Engineer

Micron Technology, Inc.; Boise (ID); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical, dental and vision plans

Paid time off and holidays

Retirement benefits

Job summary

Micron Technology, Inc. in Boise, Idaho is seeking an Yield Enhancement Electrical Failure Analysis Engineer to perform investigative electrical failure analysis and drive yield improvement.

You will conduct electrical characterization, data analytics, automation, and AI-enabled workflows to identify root causes and enable corrective actions. The role collaborates with Design, Process Integration, Product Engineering, Test, Manufacturing, and Data Science teams and emphasizes AI-powered

Qualifications

• 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.

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.

Skills

Electrical Engineering

Semiconductor devices

Data analysis

AI/ML tools

Python

SQL

JMP

Power BI

Tableau

AI-enabled workflows

Education

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

Tools

Merlin/Raptor tester platforms

MPI probe stations

Nanoprobe tools

Python

SQL

JMP

Power BI

Tableau

Job description

Micron Technology, Inc. in Boise, Idaho is seeking an Yield Enhancement Electrical Failure Analysis Engineer to perform investigative electrical failure analysis and drive yield improvement.

You will conduct electrical characterization, data analytics, automation, and AI-enabled workflows to identify root causes and enable corrective actions. The role collaborates with Design, Process Integration, Product Engineering, Test, Manufacturing, and Data Science teams and emphasizes AI-powered