Opportunity brief
Micron is hiring for the role of Graduate Engineering Technician!
Responsibilities of the Candidate:
- 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. - 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. - 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. - 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.
Requirements:
- 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.