SR ENGINEER, FE GLOBAL MANUFACTURING ENGINEERING

Responsibilities and Tasks:

• Global Standardization and BKM (Best Known Methods) Governance: Lead the development, standardization, benchmarking, and continuous improvement of FE ME operation/equipment metrics, capacity readiness processes, business processes, and BKMs across all sites.

• Govern Fab Manufacturing Engineering operational ground rules and ensure consistent alignment of methodologies, metrics, and best practices globally.

• Act as a global/area technical SME to optimize area operations, systems integration, and digital ecosystem adoption, driving global standardization and systemization of BKMs into long‑term ME blueprints.

• Facilitate WW ME forums, area network meetings, and sustain/audit existing global BKMs and business processes.

• Analyze line performance, equipment utilization, OEE, workstation/block WPD, and capacity readiness using Theory of Constraints and Lean Manufacturing.

• Proactively drive area efficiency improvement by deep‑diving into root causes of equipment availability losses, operating losses, and baseline capability gaps-partnering with Site Manufacturing, Process, Equipment, and SIC teams.

• Forecast potential roadblocks in constraint workstation management and work with Site Manufacturing Managers to create mitigation plans.

• Lead proof‑of‑concepts and deployment of automation solutions, scheduling enhancements, BKM dashboards, and digital reporting to improve fab productivity.

• Govern global change processes and drive scheduling system improvements that enhance predictability, agility, and performance.

• Drive BKM knowledge sharing and effective implementation across FE sites, fostering a strong culture of collaboration and continuous improvement.

• Build a motivating environment that strengthens team engagement and enables members to reach their fullest potential.

• Collaborate with cross-functional and multicultural teams globally, demonstrating strong cultural agility and the ability to build rapport remotely and in person.

Requirements / Qualifications

• Bachelor's or Master's Degree in Engineering, Industrial Engineering, or related technical field (or equivalent experience).

• Minimum 3 years of experience in Manufacturing Engineering, Industrial Engineering, or relevant semiconductor engineering roles.

• Intermediate knowledge of the 300mm fully-automated semiconductor manufacturing process preferred.

• Strong understanding of Lean Manufacturing, Theory of Constraints, Fab Capacity Management, Equipment Utilization, and Line Management.

• In-depth knowledge of MES, Scheduling Systems, Line Management systems, and related production/planning reporting tools.

• Proficiency in data analytics and visualization tools (e.g., SQL, Python, Tableau) to enable automation and data-driven decision making.

• Experience in cycle time management, inventory optimization, constraint management, and fab operations analytics.

• Lean Six Sigma certification (Green/Black Belt) or Project Management Professional (PMP) or equivalent certification is preferred.

• Demonstrated initiative, tenacity, and ability to identify the right collaborators to drive impactful results across global teams.

• Strong analytical and problem‑solving skills with proven success applying engineering knowledge to develop scalable solutions deployable across all Micron sites.

• Excellent communication skills with the ability to influence and engage stakeholders at all levels.

• Strong organizational skills with the flexibility to assume new responsibilities based on dynamic business needs.

• Ability to travel to Micron sites as needed for collaboration and alignment.

• Proven track record of effective teamwork in a global environment.

• Strong cultural awareness and agility to drive alignment and build rapport across sites using both in‑person and digital collaboration tools.

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one's scope of work.