Global Quality Front-End Central Quality Assurance Engineer/Sr Engineer – (GQ FECTQA MOI)

Overview

Global Quality Front-End Central Quality Assurance Engineer (Remote Operation Control) supporting Micron wafer fabrication sites across Asia and the United States with centralized quality operations, automated quality screening, lot disposition and statistical risk assessment.

What you'll do

• Develop quality screening strategies, business rules and disposition plans for deployment in Micron's centralized quality systems.
• Configure and maintain automated lot hold, disposition and containment workflows.
• Collaborate with cross-functional stakeholders to establish risk-based quality control methodologies.
• Support implementation and validation of quality system enhancements and screening improvements.
• Ensure robust controls and interlocks are implemented to minimize quality escapes and operational risks.
• Evaluate wafer lots impacted by planned or unplanned manufacturing deviations.
• Assess quality and reliability risks using electrical test data, physical characterization results, process history and statistical analysis.
• Interpret outlier signals, defect signatures and excursion indicators to determine appropriate disposition actions.
• Support disposition activities related to Fab Conversions, Quality Deviations, Special Work Requests and Manufacturing Excursions.
• Document disposition decisions and provide technical justification to stakeholders.
• Analyze large manufacturing datasets to identify abnormal signatures, trends and potential quality risks.
• Develop statistical models and methodologies for outlier detection, screening optimization and excursion monitoring.
• Perform distribution analysis, SPC review, baseline trending and risk assessment activities.
• Create dashboards, metrics and reporting solutions to improve operational visibility and decision-making.
• Drive data-based continuous improvement opportunities across Micron's manufacturing network.
• Support AI, machine learning and advanced analytics initiatives for quality monitoring and disposition automation.
• Reduce manual intervention by implementing fail-safe controls, automated workflows and decision-support systems.
• Partner with software development teams to define requirements and deploy scalable automation solutions.
• Partner with Site QA teams to ensure consistent quality execution across all manufacturing locations.
• Participate in global alignment teams focused on quality standards, operational excellence and best practice sharing.
• Support root cause investigations and corrective/preventive action (CAPA) development.
• Communicate technical findings, recommendations and business impacts to diverse stakeholders.
• Contribute to the development and publication of global quality metrics and performance indicators.
• Identify process gaps and propose innovative solutions to improve quality operations.
• Lead or participate in cross-functional projects focused on productivity, quality and automation.
• Develop and maintain operational procedures, business process documentation and training materials.
• Support audits, compliance reviews and quality system assessments.
• Drive standardization and scalability of centralized quality operations.

What you'll need

• Bachelor's Degree in Electrical Engineering, Electronics Engineering, Material Science, Statistics or related technical discipline.
• 3–5 years of experience in semiconductor manufacturing, product engineering, quality, reliability, test engineering or related industry experience.
• Strong understanding of statistical methodologies, including Statistical Process Control (SPC), outlier detection, distribution analysis, trend analysis, data visualization and risk assessment methodologies.
• Knowledge of semiconductor manufacturing processes, wafer fabrication, probe testing and parametric testing methodologies.
• Understanding of quality systems, risk management and defect containment processes.
• Strong analytical and problem-solving skills with the ability to interpret complex manufacturing datasets.
• Excellent written and verbal communication skills in English.
• Demonstrated ability to collaborate effectively across global and cross-functional teams.
• Ability to manage multiple priorities while maintaining a high level of quality and attention to detail.
• Self-motivated with strong ownership, accountability and continuous improvement mindset.

Nice to have

• Master's Degree in Electrical or Electronics Engineering, Statistics, Data Analytics or related field.
• Experience in quality engineering, reliability engineering or semiconductor product disposition.
• Knowledge of memory products, including DRAM, NAND, HBM or emerging memory technologies.
• Familiarity with machine learning, predictive analytics or AI-based manufacturing applications.
• Experience developing dashboards using Tableau, Power BI, Spotfire or similar platforms.
• Exposure to enterprise automation, workflow systems and digital transformation projects.
• Knowledge of quality methodologies such as FMEA, CAPA, 8D, Six Sigma or Lean Manufacturing.
• Experience supporting global operational teams across multiple manufacturing sites.

Details

• Location: Hyderabad - Phoenix Aquila, India.