• Bachelor's degree in Industrial Engineering, Industrial & Systems Engineering (ISE), Systems Engineering, Manufacturing Engineering, or related discipline
• Industrial Engineering experience in semiconductor or other high-volume manufacturing environments is preferred. Candidates with varying levels of experience, including fresh graduates, are encouraged to apply.
• Fresh graduates should demonstrate strong academic achievement, internships, capstone projects, or practical experience in manufacturing systems, simulation, analytics, operations research, process optimization, or related Industrial Engineering disciplines.
• 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 ability to analyze and optimize manufacturing / operational systems through data-driven approaches, academic projects, internships, or professional experience
• Strong analytical and problem-solving skills with ability to interpret and leverage data for decision making
• Demonstrated success in driving projects, process improvements, or cross-functional initiatives in academic, internship, or professional settings
• Self-motivated, proactive, and capable of working independently with minimal supervision
• Strong communication, stakeholder management, and collaboration skills

Technical Competencies

• Advanced proficiency in Microsoft Office Suite, particularly Excel (e.g., advanced formulas, PivotTables, Power Query; VBA/Macros preferred) and PowerPoint for data analysis and executive reporting
• Working knowledge of data visualization / reporting tools such as Power BI, Tableau, or equivalent business intelligence platforms
• Familiarity with Manufacturing Execution Systems (MES) and manufacturing automation / digitalization platforms
• Familiarity with simulation / modeling software for manufacturing or operations analysis (e.g., Arena, FlexSim, AnyLogic, Simio, or equivalent)
• Working knowledge of engineering / layout design tools such as AutoCAD for facility / line / equipment layout planning
• Familiarity with statistical / analytical tools (e.g., Minitab, JMP, or equivalent) is an advantage

Preferred Qualifications

• Lean Six Sigma certification (Green Belt / Black Belt preferred)