Lead Research Engineer, Smart Operation and Planning (FAB), IME

Key Responsibilities

• Define, establish, implement, and own a Fab KPI framework: OTD, cycle time (CT), WIP, inline pace / throughput, move rate, schedule adherence, equipment utilization, DPML, hold lot aging, rework/scrap, WIP turns, and forecast accuracy.
• Design and own live dashboards with tiered visual management (daily/weekly/etc) in order to set targets, guardrails, and escalation paths (e.g., CT breach, bottleneck loading, WIP caps).
• Establish KPI definitions, data lineage, and governance to ensure single source of truth; run regular ops reviews with variance/root-cause analytics and action closure tracking.
• Build capacity models by workcenter/tool family (bottleneck and non‑bottleneck) with tool states, product mix, and modelled downtime.
• Lead medium- and long-range capacity planning, including what‑if scenarios (new products / developments, recipe changes, capex adds, PM extensions).
• Optimize dispatching policies for WIP flows (e.g., FIFO, drum‑buffer‑rope) to stabilize bottlenecks and reduce CT variability.
• Partner with Equipment team for capability roadmaps (de-bottlenecking, redundancy, chamber matching, clone strategy).
• Lead fab/layout planning - bay/aisle constraints, tool placement, line balancing, utilities and material flow to minimize travel, WIP touches, and cross‑traffic.
• Maintain up‑to‑date floor maps and capacity heatmaps and define staging strategies (kitting, Kanban, supermarkets) to de‑risk starvation/overfeeding at bottlenecks.
• Implement MES integration for lot movement policies, WIP caps (Littles' Law), dispatch lists, and shop‑floor visibility.
• Implement and drive digital twin / simulation for scenario planning: mix shifts, tool downs, and new line introductions.
• Lead and develop the team by setting clear goals and encouraging upskills in analytics, simulation, and scheduling.