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September 15, 2026

R&D Engineering, Staff Engineer

Senior

135,000 - 200,000 USD/yr

Hillsboro, OR

Quick Facts

  • Build and optimize computational lithography models to reduce model calibration runtime without sacrificing accuracy.

Description

You will design and implement optimization techniques, prototype new mathematical models, and calibrate complex non-linear parameters using statistical analysis, numerical optimization, and domain-specific heuristics for computational lithography simulation. You will maintain and extend existing computational lithography models, diagnose performance bottlenecks and correctness issues in a large codebase, and collaborate with field engineers and customer-facing teams to troubleshoot behavior, gather requirements, and validate against real manufacturing data.

Responsibilities

  • Design and implement optimization techniques to reduce model calibration runtime while maintaining accuracy.
  • Prototype and develop new mathematical models for lithography simulation; translate specs into production-quality C++ integrated into Proteus.
  • Calibrate and tune complex non-linear model parameters using statistical analysis, numerical optimization, and heuristics.
  • Collaborate with product engineering, field support, and customer-facing teams to integrate modeling solutions into workflows.
  • Analyze outlier data points and develop sampling strategies to improve robustness and generalization across process variations.
  • Maintain and extend existing computational lithography models; diagnose bottlenecks and correctness issues.
  • Troubleshoot model behavior with field engineers and customers; gather requirements and validate against manufacturing data.

Requirements

  • PhD in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or related field strongly preferred; recent PhD graduates encouraged; 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 applied to real-world problems.
  • Solid foundation in numerical computation, including 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.

Benefits