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Micron Technology

Frontend Central Product Integration Engineering (cPIE) Transformative HVB (high-value-bits) Engineer/Senior Engineer

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeOnsitePosted 6 days ago
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About the role

AI summarised

This role leads data-driven initiatives to deliver pioneering process capability and optimize bits-per-wafer yield for memory products. You will collaborate across global multi-functional teams to develop end-to-end solutions for tool performance benchmarking and process integration optimization.

IDMOnsiteFront End

Key Responsibilities

  • Initiate new data solutions and methodologies to identify process, test, and design improvement opportunities, specialized in UE_ROW & all quality index, Front End-PTS integration, and high-value-bits (PG2+) yield
  • Modeling, monitoring and aiming for tool performance benchmarking
  • Process equipment prognostics and process integration optimization
  • Identity test optimization opportunities for high product grade yield improvement
  • Collaborate with site Process & Equipment Engineering, Manufacturing(MFG), Product Integration Engineering (PIE) and Data Science (DS) team to establish feasibility of new initiatives, demonstrate business values, and prototype solution mock-ups
  • Partner with Global Quality (GQ), Product Engineering (PE), Central PEE(CPEE), Smart Mfg Artificial Intelligent (SMAI), Technology Development (TD), and Suppliers to deliver end to end solutions
  • Implement BKM development and deployment to production
  • Manage priorities and enhancements to improve business processes and existing systems that are global in nature
  • Willing to work during non-standard hours when needed to provide support to engineering teams at any Micron site

Requirements

  • PhD, Master’s, or Bachelor’s degree in Engineering or a related discipline
  • Minimum of 3 years of experience in the semiconductor industry
  • Exposure to product integration, test solutions, product engineering, or circuit design engineering
  • Strong understanding of manufacturing processes, equipment, and control systems
  • Proficient in data analysis tools such as Y3, JMP, or Python
  • Proficiency in Statistical/Machine Learning will be advantageous
  • Proven track record to make decisions, multitask, solve problems and address root causes
  • Exhibit critical thinking to find opportunities
  • Effective communication skills in verbal/written
  • Self-motivated and able to work independently with minimal supervision
  • Able to travel as required to support department and company objectives