Creates next generation device and interconnect technology by ensuring the process device performance for developing processes is world class, using deep understanding of device physics.
Demonstrated expertise in leading cross functional group in defining derivative architectures including Design rules, transistors and interconnects.
Expertise in CMOS semiconductor device physics and test chip design for advanced transistor device architecture.
Experience in scribe line layout design and process monitoring structure development.
Proficiency in design rule development, validation, and waiver management processes.
Strong understanding of DTCO skills including understanding of SRAM, Standard cells and be the key interface and bridge between Process Integration, Yield, Device and Design.
Strong skills in data analysis, scripting, and statistical techniques for test chip data interpretation.
Excellent technical problem-solving skills with ability to balance design rule compliance with customer flexibility needs.
Ability to work collaboratively in globally diverse, cross-disciplinary teams to develop innovative device collateral solutions.
Demonstrated experience with design of experiment (DOE) principles applied to device collateral optimization.
Proven track record of delivering device collateral solutions in a fast-paced manufacturing environment.
Desire to learn, lead, and influence cross-functional teams in collateral development and design rule optimization.
Requirements
Master’s degree in Electrical Engineering, Physics, or related field
15+ years of experience in CMOS device engineering with focus on test chip design and device collateral development
Ph.D. degree in Electrical Engineering, Physics, or related field (Preferred)
15+ years of experience in CMOS device engineering and collateral development (Preferred)
Hands-on experience in advanced node test chip design and scribe line optimization for 3nm-16nm FinFETs and sub 3nm GAA FETs (Preferred)
Experience with design rule checker (DRC) development and physical verification flows (Preferred)
Experience in High-Volume Manufacturing environment with focus on yield monitoring and process control structures (Preferred)
Knowledge of statistical process control (SPC) and advanced data analytics for device collateral optimization (Preferred)
Knowledge of mask generation including Boolean/OPC (Preferred)