Lead engineering projects focused on yield improvement, device targeting, and performance optimization across products and process derivatives
Execute comprehensive feasibility studies and experiments to characterize processes throughout the development lifecycle, ensuring robust and reliable integration
Utilize big data analytics to identify manufacturing tool limitations and propose data-driven process improvements
Collaborate with other Technology Development and Yield Teams to develop, qualify, import, and optimize emerging semiconductor technologies
Develop integrated process solutions encompassing module equipment selection, material optimization, metrology solutions and process design to achieve manufacturability, cost, and productivity objectives
Execute New Product Introduction (NPI) activities and implement process customizations tailored to foundry customer specifications
Partner with cross-organizational teams including Device, Defect Reduction, and Yield Analysis engineers to identify root causes of yield and performance challenges
Implement corrective solutions within established timelines while maintaining quality standards
Collaborate with internal and external stakeholders to deliver technical insights and comprehensive support for foundry customer requirements
Apply advanced statistical techniques and machine learning methodologies to analyze large datasets and extract actionable manufacturing insights
Drive continuous improvement initiatives that enhance Intel's competitive position in semiconductor manufacturing
Requirements
Master's degree in Electrical Engineering, Physics, Chemistry, Materials Science, or in a STEM related field of study
5+ years of semiconductor industry experience with specific focus on Process Integration development and customization
Demonstrated experience in large-volume manufacturing environments with deep understanding of manufacturing processes and platforms
Expertise in device physics and/or interconnects and critical parameter control
Experience in big data analysis for identifying and resolving process and manufacturing challenges
Experience in semiconductor manufacturing fundamentals