Engineer, Central Probe Planning
Summary
Engineer in Micron’s Central Planning team models semiconductor capacity and capital impacts, optimizing tool usage and collaborating with global teams to balance cost and demand.
As a Global Planning Modeling Engineer, you will be a central contact for the Manufacturing network, calculating and presenting capital impacts of process changes to senior leaders in manufacturing and R&D!
As a part of Operations Central Team, you will be responsible for connecting many parts of the business in order to drive execution of manufacturing and cost savings processes, including Supply Chain, Finance, Engineering, Procurement, Production and planning! Innovation is highly valued at Micron, and you will have the opportunity to develop new tools to expedite, optimize and refine the planning and reporting processes used across the network. The ability to understand and effectively communicate capital impacts of manufacturing changes is crucial. Every day, our team gets to offer suggestions that will build the future of manufacturing through data analysis and a global approach!
Optimize capacity of install equipment and lead sites and tool level optimization studies for efficiency improvement.
Collaborate with partners to understand future tool and process roadmaps, and calculate network capacity impacts of process changes.
Complete financial analysis before new capital equipment is purchased including metrics optimization, process flexibility, capacity sharing and equipment repurpose.
Verifying capacity modeling accuracy to avoid any surprises after the IE bottom-up estimation process.
Driving Balance on minimize Capital Spend vs Maximize Demand satisfaction
Manage and communicate improvement opportunities for existing constraints and drive implementation plans
Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.
Qualifications:
Required
Bachelors’ Degree in Engineering, Computer Science, or a Business-related or quantitative field (Finance, Economics or similar discipline). MBA or Master’s degree is a plus
Experience turning sophisticated and ambiguous problem statements into structured solution while working in a highly multi-functional environment
Experience operating independently while maintaining a high degree of organization, control and change
At least 2 years experience in Semiconductor Capacity Planning
Preferred
Experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results cross diverse technical and non-technical groups
Experience working in teams, establishing and maintaining multi-functional relationships
Experience in a combination of capacity analysis, business analysis or process analysis