Synopsys Inc

R&D Engineering, Staff Engineer - 18519

Synopsys Inc$120K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or related field preferred; recent PhD graduates encouraged to apply
  • Strong programming skills in C++ and Python for numerical software and data analysis
  • Deep background in physical modeling, statistical analysis, and optimization methods
  • Solid foundation in numerical computation with experience in non-linear systems and parameter fitting
  • Demonstrated ability to analyze complex datasets and translate findings into actionable improvements

Responsibilities

  • Design and implement optimization techniques for model calibration runtime
  • Prototype and develop new mathematical models integrated into the Proteus product line
  • Calibrate complex non-linear model parameters using statistical analysis and optimization
  • Collaborate with cross-functional teams to integrate modeling solutions into workflows
  • Analyze outlier data points and improve model robustness through sampling strategies
  • Maintain and extend existing computational lithography models, diagnosing performance issues
  • Troubleshoot model behavior and gather requirements to validate solutions against real data

Benefits

  • Comprehensive health and wellness benefits
  • Financial benefits to cater to diverse needs
  • Strong focus on work-life balance
  • Opportunities for professional development and growth
  • Dynamic and supportive team environment
Full Job Description
General Information

Job Title

R&D Engineering, Staff Engineer

Job ID

18519

City

Hillsboro

State/Province

Oregon

Date Posted

28-Aug-2026

Job Category

Engineering

Job Subcategory

R&D Engineering

Hire Type

Employee

Remote Eligible

No

Base Salary Range: $120000 - $180000

Descriptions & Requirements

Job Description and Requirements

What You'll Be Doing
  • Design and implement optimization techniques that reduce model calibration runtime without sacrificing accuracy, working directly with large-scale empirical datasets from leading-edge semiconductor processes
  • Prototype and develop new mathematical models for lithography simulation, translating specifications into production-quality C++ code integrated into the Proteus product line
  • Calibrate and tune complex non-linear model parameters using statistical analysis, numerical optimization, and domain-specific heuristics
  • Collaborate with cross-functional teams including product engineering, field support, and customer-facing teams to understand technical requirements and integrate modeling solutions into existing workflows
  • Analyze outlier data points and develop sampling strategies that improve model robustness and generalization across process variations
  • Maintain and extend existing computational lithography models, diagnosing performance bottlenecks and correctness issues in a large, mature codebase
  • Work directly with field engineers and customers to troubleshoot model behavior, gather requirements for new features, and validate solutions against real manufacturing data
The Impact You Will Have
  • Enable semiconductor manufacturers to bring next-generation nodes to production faster by delivering models that calibrate in hours instead of days
  • Unlock previously unsolvable lithography challenges by developing optimization techniques that handle higher complexity and tighter tolerances than existing methods
  • Improve model accuracy across a wider range of manufacturing conditions, reducing costly silicon respins and accelerating time to market for customers
  • Strengthen Synopsys' competitive position in computational lithography by contributing novel algorithms and methods that differentiate the Proteus platform
  • Reduce customer escalations and support load by building models that are more robust, interpretable, and easier to tune in the field
  • Influence product roadmap and strategy by identifying technical gaps and opportunities based on direct customer interaction and data analysis
  • Mentor and raise the technical bar for the broader modeling team by sharing deep expertise in optimization, numerical methods, and software engineering best practices
What You'll Need
  • PhD in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or related field strongly preferred (recent PhD graduates encouraged to apply; PhD with 1-2 years of industry experience ideal), OR MS in a related field with approximately 5 years of directly relevant industry experience in computational modeling, optimization, or numerical methods
  • Strong programming skills in C++ for performance-critical numerical software and Python for prototyping and data analysis
  • Deep background in physical modeling, statistical analysis, and optimization methods, with hands-on experience applying these techniques to real-world problems
  • Solid foundation in numerical computation, including experience with algorithms for solving non-linear systems, parameter fitting, and convergence analysis
  • Demonstrated ability to analyze complex datasets, identify patterns and outliers, and translate findings into actionable model improvements
  • Experience in computational lithography, optical modeling, or image processing is a strong plus
  • Background working on large, complex software projects with multiple contributors and long product lifecycles is a strong plus
Who You Are
  • You can take a vague customer complaint about model accuracy, dig into the data, isolate the root cause, and propose a fix that addresses the underlying issue without breaking existing workflows
  • You know when to optimize for speed and when to optimize for clarity, and you can defend that tradeoff to a senior engineer or a product manager without hand-waving
  • You are comfortable presenting technical results to a mixed audience, whether that is walking a field engineer through a calibration workflow or explaining a convergence failure to a PhD researcher
  • You do not get stuck when the data is messy or the requirements are incomplete, you make progress with what you have and course-correct as you learn more
  • You care about the craft of writing maintainable code, not just code that works today, and you leave the codebase better than you found it
  • You ask questions that cut to the core of a problem, and you listen carefully to the answers, especially when they come from people with different expertise than yours
The Team You'll Be Part Of

You will join the Proteus R&D team within the EDA Group, focused on computational lithography modeling for leading-edge semiconductor manufacturing. This is a collaborative, technically deep team working on problems at the intersection of physics, mathematics, and high-performance software engineering. The team works closely with cross-functional groups including product engineering, field support, and customers to deliver modeling solutions that enable next-generation chip manufacturing. You will have the opportunity to learn deeply within specific modeling topics while gaining broad exposure to new technologies across the computational lithography domain.
Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

About Synopsys Inc

Synopsys, Inc. is an American electronic design automation company that focuses on silicon design and verification, silicon intellectual property and software security and quality. Products include logic synthesis, behavioral synthesis, place and route, static timing analysis, formal verification, hardware description language (SystemC, SystemVerilog/Verilog, VHDL) simulators, as well as transistor-level circuit simulation. The simulators include development and debugging environments which assist in the design of the logic for chips and computer systems.
Learn more about Synopsys Inc
Size
16,361 employees
Market Cap
$48.6 billion
Industry
Net Income
$722.6 million
Founded
1986
5 Year Trend
+13.3%
Revenue
$3.8 billion
NASDAQ

Similar Jobs

More Jobs at Synopsys Inc

More Information Technology Jobs

Find similar R&D Engineering, Staff Engineer - 18519 jobs: