Senior Satellite Scenario and Capital Planning Engineer

About the role

Micron is hiring a Satellite Planning Engineer for its Fab 10N/X in Singapore. The role works with central and site stakeholders on strategic scenario and capital planning analyses, supporting Fab Scenario Optimization Studies, Business Planning, Supply Chain planning and processes such as Sales & Operations Planning (SnOP) and Model of Record (MOR). It partners with Site Industrial Engineering, Site Inventory Control, New Product Introduction and Finance teams on fab loading commitments, manufacturing capability, pilot line loading plans, cost per wafer and business plan proposals.

Key responsibilities

• Apply optimization techniques to set optimal loading volumes across the horizon, meeting target bit (GB) and market share while accounting for new technology qualification milestones and ramp planning.
• Model capacity thresholds with industrial engineering concepts and analyze all scenario options, proposing options for better return.
• Plan capacity requirements for future products with central teams and quantify the impact on capital spend.
• Analyze cause-and-effect relationships for tooling purchases and capital impacts, including Cost of Transition (CoT) and budget versus actual technode capex.
• Support the Business Planning process, coordinate stakeholder inputs for quarterly business plan studies, maintain the Satellite SharePoint and manage databases, scenario ownership and change control.
• Run baseline capital spend analysis to keep cash flow neutral across the fiscal year, monitor actual spend against projections and work with site stakeholders on supplier delivery dates in Capital Asset Lifecycle Management (CALM).
• Develop capital dashboards and automate data visualization to support deeper analysis of site capital expenditure.

Required profile

• Minimum 2-3 years' experience in semiconductor capacity planning (IE) or strategic planning is preferred.
• Degree in Industrial Engineering, Manufacturing, Mechanical, Chemical Engineering or a related field.
• Ability to apply AI, advanced analytics and IE methodologies to optimize loading, capital allocation and scenario evaluation.
• Experience building AI-assisted automation, dashboards and reporting solutions.
• Strong data analysis, problem-solving, data validation and reporting skills, with good teamwork and communication.

Required skills

• Proficiency in Microsoft Office, especially Excel and SharePoint.
• Dashboard and report development in Tableau and Power BI.
• AI-enabled analytics tools such as Microsoft Copilot and Python-based analytics; Python coding is a plus.