Principal Modeling Engineer, Field Applications
- Location
- Austin, Texas, United States
- Work mode
- On-site
- Employment type
- Full-time
About the job
We Are Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. You Are You have spent years deep in semiconductor physics, building and validating models that have to predict real silicon behavior, not theoretical outcomes. The difference between a model that works in a lab and one that survives production at a foundry is something you have learned the hard way, and you know how to close that gap before a customer finds it. You are comfortable sitting with wafer data that does not make sense yet, pulling it apart until the story emerges , then translating that into a compact model someone can actually use in an OPC flow. Working across R&D, product teams, and customer sites does not intimidate you. You have been the person in the room who can explain why a calibration failed to an engineer in Taiwan at 6am, then turn around and brief a product manager on what needs to change in the next release. You do not wait for clean data or perfect specs. You ask the right questions, build what is needed with what you have, and move the work forward. At Synopsys, you will be the technical authority that field teams and customers rely on when modeling gets hard. The problems are real, the technology nodes are advanced, and what you build will directly affect whether a customer can tape out on time. What You'll Be Doing
• Calibrate and validate semiconductor models for advanced process nodes working directly with customer wafer data, test structures, and characterization results
- 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
• Customers will tape out faster because the models you deliver are accurate, validated, and ready to deploy in production OPC flows
- Customers will tape out faster because the models you deliver are accurate, validated, and ready to deploy in production OPC flows
- Field teams will resolve modeling issues in days instead of weeks because you have built the debug frameworks and knowledge base they need
- Product releases will better reflect real customer needs because you are the bridge between what breaks in the field and what gets prioritized in development
- Model quality across the organization will improve because the automated regression systems you build catch issues early and consistently
- Strategic accounts will adopt new Synopsys modeling technologies faster because you have proven they work in their specific process context
- Junior engineers across field and product teams will grow their modeling expertise because you mentor through real problems, not abstract theory
- The company will make better technical bets because your field experience informs which modeling approaches actually scale in production environments
- 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
From Synopsys's careers page (Company careers page), checked 6 Nov 2026.
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Posted 18 Sept 2026 · checked 6 Nov 2026 · Report this job