Sr Engineer Manufacturing

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.