About the role

AI summarised

The Sr/Staff Engineer, Global AT Operations Excellence leads cycle time improvement initiatives across Micron's backend manufacturing network. This role focuses on developing metrics, standardizing processes, driving analytical projects, and deploying best-known methods to enhance operational performance. The engineer collaborates with cross-functional teams to build capability, facilitate performance reviews, and align improvement efforts with strategic priorities.

IDMOnsiteAssembly & Test

Key Responsibilities

Design, develop, and maintain cycle time metrics, reports, tools, enablers, and methodologies to enable accurate performance measurement and effective improvement of actions
Drive network standardization of metrics, measurement scope and definitions, methodologies, business processes, and modeling to ensure consistent adoption across backend manufacturing sites
Establish and support cycle time targets aligned with Micron Best in Class objectives; lead or support Tier 1 Cycle Time sub programs as a subject matter expert
Identify performance gaps, risks, and improvement opportunities using descriptive, predictive, and statistical analysis techniques, and translate findings into structured improvement projects
Lead and manage a portfolio of cycle time improvement initiatives aligned with strategic priorities, working with cross-site and cross-functional teams to ensure execution and results
Develop and deliver training sessions, workshops, and coaching to improve site level capability and maturity in cycle time management
Partner with Site and Central Operations & Engineering teams (e.g., ATCSP, ATTP, PDE, TSE, NPM, NPO) to gather, analyze, and interpret cycle time and operational excellence data
Facilitate best known method (BKM) sharing and lead regular cycle time performance review meetings with key stakeholders

Requirements

Bachelors Degree in Engineering and related
At least 5 years of recent semiconductor experience with strong understanding of Backend (Assy, Test, Module/SSD) or Front-End manufacturing processes, including system and physical automation, equipment efficiency methodologies, NPI and HVM cycle time, capacity and labor planning, lean manufacturing, value stream mapping, and backend business processes and reporting structures
Proficiency in data analysis and visualization tools such as Tableau, Power BI, Excel, with solid understanding of statistics to support business and operational decisions
Working knowledge of SQL or Python to analyze data, automate analysis, and support data-driven solutions will be an advantage
Foundational understanding of AI and machine learning concepts, including AI agents, will be an advantage
A curious, analytical mindset and willingness to learn new tools and techniques
Demonstrated ability to work effectively in a collaborative, team-oriented environment
Strong written and verbal communication skills, with the ability to influence and align cross functional stakeholders
Exceptional customer focus and commitment to delivering high-quality outcomes
Practical knowledge of statistics, data analysis, and structured problem-solving methodologies
Ability to independently utilize existing tools and templates to address complex situations with minimal guidance
Possess Micron values: People, Tenacity, Collaboration, Customer Focus, Innovation