Micron
ID1 HVM PEE Photolithography Process Manager
Boise, ID - ID1 +1 · Manager · Full-time · Posted Oct 15, 2026
- Location
- Boise, ID - ID1
Boise, ID - Main Site - Experience
- Minimum 5 years of direct photolithography experience and minimum 2 years of demonstrated leadership experience.
- Education
- Bachelor’s degree or higher in Engineering, Physics, Chemistry, Materials Science, or a related science field.
About the job
Leads a photolithography engineering team and improves semiconductor manufacturing performance, process capability, yield, and cost at Micron’s U.S. memory fabrication facility.
What you'll do
- Lead, mentor, and develop photolithography engineers, including performance leadership and succession planning.
- Manage process improvements, equipment refinement, yield increases, and cost-saving initiatives while maintaining quality and safety.
- Collaborate across engineering and global teams; use AI-enabled solutions and analytics to improve process control, root-cause analysis, and engineering efficiency.
What they ask for
- Bachelor’s degree or higher in Engineering, Physics, Chemistry, Materials Science, or a related science field.
- At least 5 years of direct photolithography experience in semiconductor manufacturing.
- At least 2 years of demonstrated leadership experience leading engineering teams, technical projects, or cross-functional initiatives.
- Experience examining manufacturing data, resolving technical challenges, implementing corrective steps, and using AI, AI-enabled tools, or advanced analytics.
Nice to have
- Experience managing large engineering organizations in a 300mm semiconductor manufacturing environment.
- Experience applying AI or Generative AI to manufacturing operations, engineering problem-solving, process optimization, or workflow automation.
Tools
AI, AI-enabled tools, advanced analytics, Generative AI
AI focus
Apply AI-enabled solutions, advanced analytics, and data-driven methods to improve process control, root-cause analysis, manufacturing trend identification, workflow optimization, and engineering efficiency.
Model-written summary · the original posting is authoritative