Job Description

• Problem Solving: Apply problem-solving and analysis skills to implement effective practical solutions to real-life production usage.
• Cross-functional Collaboration: Work closely with the fab, business, finance, and IT teams to identify root causes, define strategic and tactical needs, and drive the appropriate business and technical solutions.
• Modeling: Build, develop, validate, and apply mathematically based decision algorithms, heuristics, optimization, and simulation models and tools
• Fab Capacity Planning:  Maintain, enhance, and increase the capability of the current Fab Planning Model. Partner with planning teams in support of the S&OP activities including but not limited to capacity planning, wafer cost, and supply management.
• Process Improvement: Identify and drive key process improvement projects with China, Japan and U.S. teams to streamline the visibility of supply, supply constraints, and capacity constraints. 

Qualifications

• Master’s degree in Industrial Engineering, Operations research, Applied Mathematics, Statistics, Systems Engineering, or foreign equivalent
• Minimum 3-5 years of working experience in the Semiconductor or technology industry.
• Experienced in Linear Programming, Mixed Integer Programming, Constraint Programming, and Stochastic Programming
• Fluent in at least one Object-Oriented Programming language (preferably Python)
• Experienced in working with enterprise optimization solvers (ILOG CPLEX, Gurobi, FICO Xpress)
• Skilled in database management systems (MySQL, SSMS, etc.)
• Familiar with capacity management/supply chain management/manufacturing operations/development/ new product introduction or operations engineering.
• Fluent in Data visualization and analytics tools (Tableau, Power BI, Spotfire)