New College Grad - Ram Quality Engineer - Boise, ID - ID1, United States

Originally posted 10 September 2026 by the employer.

This role focuses on defect detection and metrology operations within the Realtime Defect Analysis (RDA) and Metrology organization.

About the role

As an ID1 RDA Quality Engineer, you will develop and implement quality systems, monitoring strategies, and best-known methods (BKMs) that support defect detection and metrology operations.

What you'll do

• Develop, implement, and maintain quality control systems, standards, and BKMs for the RDA and Metrology organization.
• Monitor and analyze quality performance metrics, baseline health indicators, SPC compliance, and wafer-at-risk events to identify trends and drive corrective actions.
• Lead or support excursion mitigation activities, failure mode and effects analysis (FMEA), sampling strategy development, and audit execution.
• Collaborate with global manufacturing sites, process integration, process development, yield analysis, and data science teams to align quality methodologies and transfer technology to high-volume manufacturing.
• Utilize AI-enabled tools and data analytics to improve process monitoring, quality assessment, problem solving, operational efficiency, and data-driven decision making.

What you'll need

• Bachelor's degree in Engineering, Materials Science, Physics, Chemistry, Data Science, or a related technical field.
• Experience analyzing manufacturing, process, quality, or engineering data to identify trends and drive process improvements.
• Demonstrated understanding of statistical process control (SPC), root cause analysis, and quality management principles.
• Strong written and verbal communication skills with the ability to present technical findings to cross-functional teams.
• Experience using data analysis tools, reporting systems, or AI-enabled technologies to support decision making and continuous improvement initiatives.

Nice to have

• Master's degree in Engineering, Materials Science, Data Science, or a related technical discipline.
• Experience in semiconductor manufacturing, defect inspection, metrology, yield engineering, or quality engineering environments.
• Knowledge of FMEA, sampling methodologies, auditing practices, and excursion management processes.
• Experience collaborating with global or cross-site teams to implement process improvements and technology transfers.
• Proficiency with advanced data analytics, visualization tools, and AI-supported solutions for operational performance monitoring and quality improvement.

Skills: quality control systems, quality performance metrics, SPC, excursion mitigation, FMEA, AI-enabled tools