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Micron Technology

Global AT Operational Excellence (AT OE) Cycle Time Engineer

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeFull-time1 months ago
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About the role

AI summarised

This is an entry-level Global AT Operational Excellence Cycle Time Engineer role at Micron Technology, a semiconductor company. The engineer will support network-wide cycle time improvement initiatives in Backend Manufacturing, working with data analytics, dashboards, and cross-functional teams to drive operational excellence.

IDMFull-timeAssembly & Test

Key Responsibilities

  • Support the development and maintenance of cycle time metrics, dashboards, and reports to enable performance visibility and decision-making.
  • Assist in data collection, validation, and basic analysis to identify cycle time gaps, trends, and improvement opportunities across backend manufacturing sites.
  • Participate in cycle time improvement projects by supporting root cause analysis, documentation, and action tracking under guidance from senior engineers/managers.
  • Learn and apply standard cycle time methodologies, metric definitions, and best-known methods (BKM) used across the network.
  • Support preparation of materials for regular cycle time performance reviews and working meetings with site and central teams.
  • Collaborate with cross functional partners (e.g., Operations, Engineering, Planning) to understand backend manufacturing processes and business needs.
  • Contribute to documentation, training materials, and knowledge sharing to support standardization and capability building.

Requirements

  • Bachelor's degree in engineering, Data Analytics, Industrial Engineering, Supply Chain, Operations Research, or related discipline.
  • Basic understanding or strong interest in manufacturing operations, automation, or advanced analytics. Internship or academic projects related to manufacturing, operations, data analytics, or process improvements are preferred.
  • Exposure to Lean Six Sigma, value stream mapping, or continuous improvement concepts is an advantage.
  • Familiarity with data analysis and visualization tools such as Excel, Power BI, or Tableau. Exposure to SQL or Python through coursework, projects, or self-learning is an advantage but not mandatory.
  • Basic knowledge of statistics and analytical thinking; ability to interpret data and ask the right questions.
  • Foundational understanding of AI and machine learning concepts will be an advantage but not mandatory.
  • Strong learning mindset with curiosity to explore new tools, methodologies, and manufacturing concepts.
  • Good written and verbal communication skills, with the ability to work effectively in a team environment.
  • Demonstrated ownership, attention to detail, and commitment to deliver quality work.
  • Possess Micron values: People, Tenacity, Collaboration, Customer Focus, Innovation