RDA Quality Engineer — AI-Driven Defect & Metrology

Micron Technology; Boise (ID); On-site; USD 70,000 - 110,000; Full time

Job summary

Micron Technology is seeking an ID1 RDA Quality Engineer to develop and implement quality systems for defect detection and metrology. You will monitor metrics, lead excursion mitigation, and collaborate with global teams to transfer technology into high-volume manufacturing.

Ideal candidates bring SPC, root cause analysis, and data analytics experience, with strong communication skills and experience using AI-enabled tools to support continuous improvement.

Qualifications

• Bachelor's degree in Engineering, Materials Science, Physics, Chemistry, Data Science, or related field.
• Experience analyzing manufacturing, process, quality, or engineering data to identify trends.
• Understanding of SPC, root cause analysis, and quality principles.
• Strong written and verbal communication for cross-functional presentations.
• Experience using data analysis tools or AI-enabled technologies for decision making.

Responsibilities

• Develop, implement quality control systems and BKMs for RDA/Metrology.
• Monitor quality metrics and SPC compliance to identify trends and drive actions.
• Lead or support excursion mitigation, FMEA, sampling strategies, and audits.
• Collaborate with global teams to transfer tech to high-volume manufacturing.
• Apply AI-enabled analytics to improve monitoring and decisions.

Skills

Data analysis

SPC

Root cause analysis

Communication

AI tools

Education

Bachelor's degree in Engineering/STEM

Master's degree (preferred)

Tools

Data analysis tools

Reporting systems

AI-enabled technologies

Job description

Micron Technology is seeking an ID1 RDA Quality Engineer to develop and implement quality systems for defect detection and metrology. You will monitor metrics, lead excursion mitigation, and collaborate with global teams to transfer technology into high-volume manufacturing.

Ideal candidates bring SPC, root cause analysis, and data analytics experience, with strong communication skills and experience using AI-enabled tools to support continuous improvement.