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About the Role
As a Strategic/Development Industrial Engineer, you will design and implement solutions to drive manufacturing efficiency and long-term capacity planning. By analyzing complex business data, developing production models, and optimizing equipment and facility layouts, you will empower Intel to deliver world-class technologies while reducing costs and improving operational performance. Your work will directly contribute to Intel's ability to innovate and meet the demands of a dynamic global market.
Responsibilities
- Develop and execute space, capacity, and capital strategies for APTM WPM factories to balance near-term execution and long-range planning through scenario-based tradeoff analysis.
- Model WPM capacity across specific manufacturing segments, incorporating demand forecasts, tool roadmaps, and customer scenarios and demand-capacity tradeoffs to inform factory response options.
- Perform SnOP demand and capacity analysis evaluating gaps, constraints, and responses scenarios including one or more APTM manufacturing segments and translate insights into clear executive-ready recommendations on capacity actions, capital timing, and tradeoffs.
- Analyze tradeoffs between space, capacity, throughput, and CapEx to optimize factory economics and return on invested capital (ROIC), framing implications for decision timing and risk.
- Integrate capacity strategies across APTM organizations, Technology Development (TD), Manufacturing, Foundry Business Group (FBG), Foundry Construction and Sourcing, Foundry Customer Strategic Planning, and Finance to ensure alignment and executable decision timing.
- Collect, benchmark, and synthesize internal and external data to develop structured insights and recommendations for senior and executive leadership.
- Own and develop new planning or modeling capability within the organization, driving rapid maturity, adoption, and sustained impact.
- Communicate clearly under tight timelines and incomplete information, making sound assumptions when data is unavailable and upleveling insights to influence outcomes across a diverse cross-functional stakeholder set.
Requirements
- Bachelor's degree in industrial engineering or similar degree and 4+ years of experience OR Master's degree in Industrial Engineering or similar degree and 3+ years of experience OR PhD in Industrial Engineering or similar.
- 2+ years' experience in Foundry manufacturing systems design, supply chain, capacity planning, or operations research.
- 1+ years of experience with statistical analysis tools.
- 1+ years of experience with analytics and data modeling capabilities using Excel.
- 1+ years' experience with project management; experience managing multiple priorities in fast-paced manufacturing environments.
- Master's degree or PhD in Industrial Engineering, Systems Engineering, or a related field.
- Experience implementing Lean, Six Sigma, or similar methodologies for large-scale process improvements.
- Advanced proficiency in data visualization tools or programming languages such as Python, R, SQL, or Power BI.
- Exceptional problem-solving skills, with proven ability to synthesize complex data into actionable insights.
- Previous experience in semiconductor manufacturing or technology-related industries.
Skills
- Industrial Engineering
- Capacity Planning
- Data Analysis
- Production Modeling
- Equipment Optimization
- Facility Layout Optimization
- Scenario-based Tradeoff Analysis
- Demand Forecasting
- Tool Roadmaps
- Demand-Capacity Tradeoffs
- SnOP Analysis
- Gap Analysis
- Constraint Analysis
- Capital Planning
- Return on Invested Capital (ROIC)
- Project Management
- Statistical Analysis
- Analytics
- Data Modeling
- Excel
- Lean
- Six Sigma
- Data Visualization
- Python
- R
- SQL
- Power BI
- Problem-Solving
- Semiconductor Manufacturing
Location
- US, Arizona, Phoenix
- US, California, Folsom
- US, California, Santa Clara
- US, New Mexico, Albuquerque
- US, Oregon, Hillsboro
- US, Texas, Austin
Work Type
- Hybrid
- Experienced Hire
Experience Level
- 4+ years of experience (with Bachelor's)
- 3+ years of experience (with Master's)
- PhD
- 2+ years of experience
- 1+ years of experience
Education Level
- Bachelor's degree in industrial engineering or similar
- Master's degree in Industrial Engineering or similar
- PhD in Industrial Engineering or similar
- Master's degree or PhD in Industrial Engineering, Systems Engineering, or a related field
Salary/Compensations
- $103,730.00 - $198,820.00 USD
Benefits
- Health benefits
- Dental benefits
- Retirement benefits
- 14 paid holidays per calendar year
- Three weeks of paid vacation
- Four-week paid sabbatical every four years of employment
- Five bonuses per year dependent on overall company and personal performance
- Employee stock purchase program
- Competitive pay
- Stock bonuses
- Benefit programs
About the Company
- Intel is shaping the future of technology to help create a better future for the entire world.
- Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations.
- Intel Foundry's Factory Capacity Optimization (FCO) organization is responsible for factory space, capacity, and capital planning.
- This group leads Intel's growth strategy by enabling data-driven decisions that align with long-term manufacturing objectives.
- As part of the FCO Network Design team, you'll collaborate across manufacturing operations, technology development, and finance to support Intel's mission of delivering cutting-edge technologies with scalability and efficiency.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.