EUV Lithography Engineer - AI-Driven Yield Optimizer

Micron Technology, Inc.; Boise (ID); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Micron Technology, Inc. in Boise, Idaho seeks an EUV Photolithography Process Engineer to own EUV processes and scanner fleets, drive yield improvements, and lead CAPA-driven improvements in a high-volume DRAM manufacturing setting.

The role emphasizes data-driven decision making, collaboration across multiple teams, and applying AI-enabled analytics to optimize lithography performance.

Qualifications

• Bachelor’s degree in a relevant engineering or science field plus 4+ years in semiconductor manufacturing
• Experience with SPC, excursion management and high-volume process control
• Understanding of photolithography including CD, overlay, defectivity, and process window control
• Strong analytical and problem-solving skills with DOE, regression, and root-cause methodologies
• Experience applying AI-enabled tools (LLMs or AI assistants) for data analysis or productivity improvements

Responsibilities

• Own EUV lithography processes and scanner fleets, ensuring stable HV manufacturing performance
• Lead rapid response to process excursions, containment, root-cause analysis and CAPA
• Collaborate with Operations, Equipment Engineering, Integration and Metrology to align priorities
• Drive continuous improvement of process capability, yield, and equipment productivity using DOE and data-driven methods
• Leverage AI-enabled solutions to enhance process optimization and engineering productivity

Skills

SPC

Excursion management

Statistical analysis

DOE

Regression analysis

Root-cause analysis

AI-enabled data analysis

Education

Bachelor’s degree in Electrical Engineering, Materials Science, Physics, Chemical Engineering, or related field

Master’s degree in related field (optional)

Tools

Statistical software

AI tools (LLMs)

Job description

Micron Technology, Inc. in Boise, Idaho seeks an EUV Photolithography Process Engineer to own EUV processes and scanner fleets, drive yield improvements, and lead CAPA-driven improvements in a high-volume DRAM manufacturing setting.

The role emphasizes data-driven decision making, collaboration across multiple teams, and applying AI-enabled analytics to optimize lithography performance.