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Micron Technology

Senior/Staff Engineer, FE Labor Prod. & Data Engrg

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeFull-time2 weeks ago
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About the role

AI summarised

Senior/Staff Engineer for Front-End Labor Productivity and Data Engineering at Micron Technology, a semiconductor memory and storage company. The role drives measurable improvements in labor productivity through standardization, automation, and AI, managing programs and providing data-driven insights.

IDMFull-timeFront End

Key Responsibilities

  • Drive year over year improvement in FE labor productivity VAM/HC in support of the 5MORE productivity roadmap.
  • Lead E2E execution and governance of FE labor productivity programs to ensure on time delivery and measurable outcomes. Standardize tools, methods, and processes across sites to enable scalable and repeatable execution aligned with enterprise goals.
  • Maintain and optimize the loading-based staffing (LBS) model to align staffing levels with actual workload demand.
  • Provide governance support for SEAL and SWAT initiatives.
  • Lead Labor SWAT initiatives to improve FE labor productivity and functional AI roadmap. Targeted actions address gaps, accelerate progress, and support overall productivity goals.
  • Monitor labor performance metrics, identify gaps, benchmark best practices, and support performance recovery actions when needed.
  • Enable cross site knowledge sharing to scale successful solutions and maximize network impact.
  • Guide site and central teams to identify and prioritize productivity opportunities using AWMS workload data to convert effort into measurable time savings.
  • Managing programs involving pipelines of AI, GenAI, automation, and low code solutions, including copilots, digital footprint, and workflow automation.
  • Support development and execution of functional AI roadmaps across FE organizations with focus on reuse and scalability.
  • Drive structured use case intake, value assessment, feasibility review, and deployment planning to ensure sustainable adoption.
  • Translate data into actionable insights to support fact-based prioritization and decision making.

Requirements

  • Degree in Engineering, Industrial Engineering, Statistics, or a related field
  • At least 3+ years of experience in semiconductor operations.
  • Preferred experience leading programs/projects with demonstrated outcomes in productivity, operational efficiency, or workforce/labor optimization.
  • Working knowledge of GenAI concepts and delivery (use-case framing, prompt/workflow design basics, evaluation of value and risk, adoption metrics).
  • Experience delivering automation and low-code solutions (e.g., Power Automate, Copilot Studio, UiPath, SQL or similar), including requirements-to-deployment lifecycle.
  • Excellent communication and stakeholder management skills across site, central, and executive audiences.
  • Proficiency with Microsoft 365 (Excel/PowerPoint/Teams) and data visualization tools (e.g., Power BI).