AI-Driven Photolithography Process Engineering Manager

3000 Micron Idaho Semiconductor Manufacturing (Triton) LLC; Boise (ID); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical, dental and vision plans

Paid time off

Paid holidays

Job summary

Micron Technology seeks a Manager of Photolithography Process Engineering to build and lead a high-performing team for the newest U.S. memory fabrication facility.

You will drive manufacturing performance, process optimization, yield improvement, and cost-reduction initiatives while guiding cross-functional collaboration and data-driven decision-making. You will apply AI-enabled technologies and analytics to accelerate engineering efficiency, ensure safety, quality, and alignment with strategic

Qualifications

• Bachelor’s degree in engineering or related science field.
• Minimum 5 years direct photolithography experience in semiconductor manufacturing.
• Minimum 2 years leadership of engineering teams or cross-functional initiatives.
• Experience using AI, AI-enabled tools, or advanced analytics to optimize workflows.

Responsibilities

• Lead and develop a team of photolithography engineers with mentorship and performance leadership.
• Manage process improvements, equipment refinement, yield increases and cost savings.
• Collaborate across global teams to apply proven techniques and continuous improvement.
• Apply AI-enabled analytics to improve process control and speed root-cause analysis.

Skills

Photolithography

Leadership

AI analytics

Data-driven decisions

Education

Bachelor's degree in Engineering/Physical sciences

Job description

Micron Technology seeks a Manager of Photolithography Process Engineering to build and lead a high-performing team for the newest U.S. memory fabrication facility.

You will drive manufacturing performance, process optimization, yield improvement, and cost-reduction initiatives while guiding cross-functional collaboration and data-driven decision-making. You will apply AI-enabled technologies and analytics to accelerate engineering efficiency, ensure safety, quality, and alignment with strategic