Principal Modeling Engineer, Field Applications

You will be a Principal Modeling Engineer in the Field Applications team at Synopsys, working on semiconductor modeling for advanced process nodes. You will calibrate and validate models using customer wafer data, test structures, and characterization results. Your goal will be to deliver accurate and validated models for production OPC flows, enabling customers to tape out on time.

Responsibilities

• Calibrate and validate semiconductor models for advanced process nodes working directly with customer wafer data, test structures, and characterization results
• Generate and maintain compact models used in customer OPC engagements, ensuring accuracy and performance across lithography workflows
• Debug complex modeling issues at customer sites, working with Field Applications Engineers to resolve calibration failures, data quality problems, and deployment blockers
• Build and maintain automated validation and regression environments that catch model quality issues before they reach customers
• Collaborate with R&D and Product Engineering to translate field requirements into product enhancements, contributing directly to roadmap discussions and feature prioritization
• Deliver technical training and enablement to customers, supporting evaluations, benchmarks, and proof-of-concept work that drives technology adoption
• Develop best practices, methodology documentation, and workflow automation that improve modeling productivity across the field organization

Requirements

• M.S. or Ph.D. in Electrical Engineering, Physics, Semiconductor Engineering, or a related technical field
• 8+ years building, calibrating, or validating semiconductor device models in TCAD, SPICE, or lithography modeling contexts
• Deep understanding of semiconductor device physics and how process technology choices affect model behavior and accuracy
• Experience developing compact models and working through calibration methodologies that balance accuracy, runtime, and usability
• Proven track record supporting customer-facing technical engagements where you were the expert in the room solving real deployment problems
• Programming capability in Python, Tcl, Perl, or similar scripting languages is a strong plus, especially for automation and workflow development
• Experience applying machine learning techniques to modeling or characterization work is a differentiator