Graduate Engineering Technician

About Micron Technology

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.

Key Responsibilities

• Quality Deviation Management
• Monitor QDR triggers and quality alerts.
• Investigate quality deviations and determine probable causes.
• Create, update, and close QDR records in manufacturing systems.
• Ensure timely containment and disposition of affected lots.
• Coordinate corrective and preventive actions with stakeholders.
• Defect Investigation & Root Cause Analysis
• Analyze yield excursions, defect trends, and process deviations.
• Perform structured root cause investigations using 5-Why, Fishbone, 8D, FMEA, and statistical methodologies.
• Validate corrective actions and track effectiveness.
• Support wafer, package, and test-related failure investigations.
• Process & Equipment Monitoring
• Monitor equipment health and process performance indicators.
• Identify abnormal trends and recommend corrective actions.
• Support PM, calibration, troubleshooting, and equipment qualification activities.
• Escalate critical quality issues to engineering teams.
• Manufacturing Containment
• Execute lot containment activities to prevent customer escapes.
• Assess impact to quality, delivery, and reliability.
• Coordinate with Manufacturing, QA, and Engineering for risk disposition.
• Document containment decisions and recovery actions.
• Continuous Improvement
• Drive yield and quality improvement projects.
• Reduce recurring QDR occurrences through preventive actions.
• Participate in automation and digital transformation initiatives.
• Contribute to Best Known Methods (BKM) sharing across sites.
• AI & Digital Skills
• Utilize AI-powered tools (e.g., Microsoft Copilot, Power BI AI features) to analyze quality trends, summarize QDR investigations, and improve reporting efficiency.
• Leverage data analytics and AI-assisted insights to identify recurring defect patterns, yield excursions, and potential process risks.
• Support digital manufacturing initiatives through automated dashboards and data visualization for QDR monitoring and management reviews.
• Use AI and statistical tools to perform anomaly detection and assist in early identification of quality deviations.
• Collaborate with Engineering teams to validate defect classifications generated by automated vision inspection or machine-learning systems.
• Apply basic prompt engineering and GenAI tools to improve documentation quality, root cause analysis summaries, and corrective action tracking.
• Demonstrate proficiency in Microsoft Excel, Power BI, and foundational AI-assisted productivity tools to drive operational excellence.

Qualifications

• Exposure to Generative AI tools (Microsoft Copilot, ChatGPT, or equivalent).
• Basic understanding of data analytics, automation, and AI applications in manufacturing environments.
• Knowledge of Industry 4.0, Smart Factory, or digital transformation concepts is an added advantage.