Industrial Engineer

Responsibilities:

• Drive capacity planning, bottleneck analysis, and manufacturing readiness to support production demand and factory ramp requirements
• Lead industrial engineering studies and initiatives to optimize labor productivity, machine utilization, and manufacturing efficiency
• Develop and maintain simulation / analytical models for factory planning, scenario analysis, and decision support
• Partner with Operations, Engineering, Planning, and Finance teams to evaluate CapEx requirements, cost models, and business cases
• Identify and execute continuous improvement initiatives to improve cycle time, throughput, cost, and operational performance
• Support manufacturing automation and digitalization initiatives including MES / system enhancements where applicable
• Lead cross-functional projects and drive implementation of process / system improvements with measurable business impact
• Establish and maintain IE standards, methodologies, and best practices across the organization
• Mentor junior engineers / peers and contribute to development of IE team capability

Requirements:

• Bachelor's degree in industrial engineering, Systems Engineering, Manufacturing Engineering, or related discipline
• Minimum 5+ years of Industrial Engineering experience, preferably in semiconductor or other high-volume manufacturing environments
• Strong knowledge and hands-on experience in Industrial Engineering methodologies, including Work Measurement and Flow Analysis Time study / labor optimization Cycle time analysis WIP profiling and flow optimization Capacity and System Modeling Capacity planning and bottleneck analysis Factory / production simulation and modeling Manufacturing system optimization Business and Execution Costing and business case analysis Capex planning and justification Factory ramp planning and execution
• Proven experience in designing and optimizing complex manufacturing / operational systems
• Strong analytical and problem-solving skills with ability to interpret and leverage data for decision making
• Demonstrated success in leading cross-functional projects and driving implementation in fast-paced environments
• Self-motivated, proactive, and capable of working independently with minimal supervision
• Strong communication, stakeholder management, and collaboration skills