About The Position

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. We are part of Micron’s Technology Development organization, enabling next-generation DRAM through strong execution and fast learning cycles. Our Films Manufacturing Development Engineering team works hands-on in a fast-paced R&D environment to keep development moving, improve data quality, and support critical technology milestones. We value ownership, collaboration, and building the next generation of engineers! This role combines people leadership, operational ownership, and technical depth in thin films process development. You will lead a team across shifts, support daily execution in the fab, and help remove barriers that slow development. The role offers strong visibility, direct impact on R&D outcomes, and the opportunity to grow both people and processes.

Requirements

  • Bachelor’s degree in engineering or related field, or equivalent experience
  • Experience in thin films process development including CVD, PVD, or related areas
  • Demonstrated leadership in a technical or manufacturing environment
  • Strong problem-solving and communication skills
  • Understanding of deposition physics, kinetics, or transport phenomena

Nice To Haves

  • PhD or MS or equivalent experience with 5+ years, or BS with 10+ years of semiconductor experience
  • Deep knowledge of thin film deposition and related process technologies
  • Experience in shift-based manufacturing or R&D environments
  • Strong multi-functional collaboration and mentoring experience
  • Experience Applying Artificial Intelligence to improve engineering workflows

Responsibilities

  • Lead shift-based execution for thin films process development and wafer flow
  • Manage and develop engineers through coaching, mentorship, and performance feedback
  • Partner with process, integration, and equipment teams to align priorities
  • Ensure data quality, address customer concerns, and resolve yield and defect challenges
  • Drive operational improvements using data science and AI-Enabled approaches

Benefits

  • Choice of medical, dental and vision plans
  • Benefit programs that help protect your income if you are unable to work due to illness or injury
  • Paid family leave
  • Robust paid time-off program
  • Paid holidays
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