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.

Bachelor's degree in Computer Engineering, Computer Science, 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.
Demonstrated leadership and a track record of impact are highly desirable.
Interest in and knowledge of the semiconductor industry and Micron is preferred.

Global AT Operational Excellence, Cycle Time Engineer

Key skills