About the role
AI summarisedThis role involves strategic capacity and capital planning for semiconductor manufacturing, focusing on optimizing loading volumes, forecasting capital expenditures, and developing automation solutions to improve business efficiency. The engineer will collaborate with cross-functional teams to model capacity thresholds, analyze scenario impacts, and maintain planning systems like SharePoint and CALM. Responsibilities include creating dashboards, managing scenario ownership, and ensuring alignment with financial and operational targets.
IDMOnsiteFront End
Key Responsibilities
- Apply industrial engineering concepts to model the capacity thresholds to support existing and future technology
- Ensure all the required scenario options are well analyzed. Call out opportunity and propose options for better return scenario
- Collaborate with Central teams to plan capacity requirements of future products and to quantify the impact on existing and future capital spend
- Using qualitative and quantitative analysis to explain scenario cause – effect relationship for tooling purchase and capital impact differences
- Provide yellow field Cost of Transition (CoT) for each technode and understand the correlation between theoretical CoT vs actual CoT
- Defining new technode CoT and understand the gap between budget vs actual technode capex
- Adhere to calendar requirements and agreements with respect to Business Planning Process
- Flexible and agile to changes in Business Planning
- Coordinate with all relevant stakeholders to ensure all the parameters updates are in-place so that can be utilized correctly for quarterly business plan study
- Create, Maintain and update Satellite Sharepoint
- Strive to streamline business efficiency and eliminate manual errors through task automation and simplification
Requirements
- Min 2-3 years experiences in semiconductor capacity planning (IE) or strategic planning team are preferred
- Master/Bachelor's Degree in Industrial Engineering, Manufacturing engineering, mechanical engineering, chemical engineering
- Strong ability to perform data analysis and problem solving
- Strong data validation skills and reporting skills
- Ability to map relevant conclusions to support decisions making
- Ability to work closely and effectively with others in a team environment
- Strong verbal communication and presentation skills
- Independence and high determination to complete tasks in a timely manner
- Skillful in Microsoft Office particularly Excel as well as Sharepoint management
- Knowledge and practical application of statistics, data analysis and problem solving
- Proficiency in developing dashboard and reports using Tableau and Power BI
- Experience in python coding will be a plus point