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IDHVM PEE Photolithography Process Manager

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: 3000 Micron Idaho Semiconductor Manufacturing (Triton) LLC
Full Time position
Listed on 2026-10-15
Job specializations:
  • Engineering
    Process Engineer, Manufacturing Engineer, Operations Management, Quality Engineering
Salary/Wage Range or Industry Benchmark: 150000 - 230000 USD Yearly USD 150000.00 230000.00 YEAR
Job Description & How to Apply Below
Position: ID1 HVM PEE Photolithography Process Manager

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron Technology, the Process Engineering division handles developing, advancing, and supporting semiconductor manufacturing processes that drive world-class memory production.

The team works in close coordination with Manufacturing Engineering, Technology Development, Advanced Technology Engineering, and worldwide partners to increase equipment performance, process capability, yield, cost efficiency, and operational excellence across innovative fabrication facilities.

As the Manager of Photolithography Process Engineering, you will build, develop, and lead a high-performing engineering team supporting the newest U.S. memory fabrication facility. You will drive manufacturing performance, process optimization, yield improvement, and cost reduction initiatives while ensuring alignment with Micron’s strategic business objectives. This role requires strong technical leadership, cross-functional collaboration, and the ability to employ AI-enabled technologies, advanced analytics, and data-driven decision-making to accelerate manufacturing improvements and engineering efficiency.

Responsibilities
  • Lead and develop a team of photolithography engineers, providing technical guidance, mentoring, succession planning, and performance leadership to achieve organizational objectives.
  • Manage photolithography process improvements, equipment refinement, yield increases, and manufacturing cost savings while sustaining the highest quality and safety standards.
  • Collaborate with Manufacturing Engineering, Technology Development, Advanced Technology Engineering, Quality, and global engineering teams to identify and apply proven techniques and continuous improvement initiatives.
  • Apply AI-enabled solutions, advanced analytics, and data-driven methods to improve process control, speed up root-cause analysis, identify manufacturing trends, and boost engineering efficiency.
  • Present complex technical and operational topics to executives, technology leaders, and large cross-functional audiences while driving alignment on strategic priorities.
Minimum Qualifications
  • Bachelor’s degree or higher in Engineering, Physics, Chemistry, Materials Science, or a related science field.
  • Minimum of 5 years of direct photolithography experience within semiconductor manufacturing.
  • Minimum of 2 years of demonstrated leadership experience leading engineering teams, technical projects, or cross-functional initiatives.
  • Established background in examining manufacturing data, addressing intricate technical challenges, and carrying out corrective steps to boost process performance and yield.
  • Experience using AI, AI-enabled tools, or advanced analytics to optimize workflows, improve decision-making, or increase engineering efficiency.
Preferred Qualifications
  • Experience managing large engineering organizations within a 300mm semiconductor manufacturing environment.
  • Proven ability to boost equipment efficiency, improve yield, reduce cycle time, and optimize manufacturing costs.
  • Solid understanding of semiconductor manufacturing systems, process integration, quality approaches, and operational excellence methods.
  • Proven ability to influence and collaborate effectively across global organizations, suppliers, and senior leadership teams.
  • Experience applying AI, Artificial Intelligence, or Generative AI technologies to manufacturing operations, engineering problem-solving, process optimization, or workflow automation.
Benefits
  • We offer a choice of medical,…
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