Senior Engineer, Global AT Operations Excellence (AT OE) Space Efficiency

As a Global AT Operations Excellence (AT OE) Space Efficiency Senior Engineer at Micron Technology, Inc., you will play a critical role in driving network-wide Space Efficiency performance through close collaboration with multiple manufacturing sites and cross functional partners. This position is responsible for improving Micron's Network Space Efficiency Programs while embedding an Operations Excellence mindset across the Backend Manufacturing organization.

The role requires strong expertise in cycle time management, factory physics foundational knowledge, advanced data analytics, and structured problem solving to identify gaps, analyze root causes, and translate insights into actionable improvement initiatives. You and your team will guide network site teams by leading cycle time-focused continuous improvement projects, aligning business processes, and standardizing methodologies and metrics across the network.

You will facilitate weekly performance reviews with site stakeholders, steward the development of efficient and effective cycle time processes, and establish a clear roadmap for metric standardization and methodology blueprinting. This role also serves as a key driver for high impact analytical projects and best-known method (BKM) deployment aligned with Micron's cycle time strategy.

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 subprograms 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.

• Build and sustain effective working relationships with internal customers by understanding business needs, managing expectations, and delivering consistent value.

• Facilitate best known methods (BKM) sharing and lead to 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

• Willingness to work flexible hours and travel as required to meet business needs.

  Performs design and development engineering assignments related to activities for equipment and systems layouts in plant, office, and production facilities. Work may encompass studies to determine the efficient sequence of operations and workflow. Recommends processes for maximum utilization of production facilities and personnel. Prepares cost estimates for proposed projects and evaluates cost factors. May participate in testing and implementation of new production systems and interface with research and development and process engineering to plan for future product introduction.