R&D Engineering Staff Engineer
SynopsysJob Title
R&D Engineering Staff Engineer
Role Summary
Work on computational lithography models in the Proteus R&D team to develop optimization and numerical methods that improve model calibration speed and robustness for semiconductor manufacturing.
Translate mathematical models into production-quality C++ code, prototype in Python, and collaborate with product, field support, and customers to validate solutions on real manufacturing data.
Experience Level
Senior role. Preferred: PhD in a relevant field with 1–2 years of industry experience (recent PhD graduates encouraged). Alternatively, MS with approximately 5 years of directly relevant industry experience.
Responsibilities
Primary responsibilities include designing algorithms, implementing production code, and working with cross-functional teams to deploy and validate models.
- Design and implement optimization techniques to reduce model calibration runtime while preserving accuracy.
- Prototype mathematical models and translate specifications into production-quality C++ integrated with the Proteus product line.
- Calibrate and tune non-linear model parameters using statistical analysis, numerical optimization, and domain heuristics.
- Analyze outlier data and develop sampling strategies to improve robustness across process variations.
- Maintain and extend a large, mature codebase; diagnose performance and correctness issues.
- Collaborate with field engineers and customers to troubleshoot model behavior and validate solutions with manufacturing data.
Requirements
Must-have technical skills and practical experience.
- Strong C++ skills for performance-critical numerical software and Python for prototyping and data analysis.
- Deep background in physical modeling, statistical analysis, and optimization methods applied to engineering problems.
- Solid foundation in numerical computation, including non-linear solvers, parameter fitting, and convergence analysis.
- Experience analyzing large, noisy datasets and turning findings into model improvements.
- Experience working on large, multi-contributor software projects with long product lifecycles.
- Excellent communication skills for explaining technical results to mixed audiences (field engineers, product managers, researchers).
- Nice-to-have: experience in computational lithography, optical modeling, or image processing.
Education Requirements
PhD in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or a related field is strongly preferred (recent PhD graduates encouraged; PhD with 1–2 years industry experience ideal). Alternatively, an MS in a related field with approximately 5 years of directly relevant industry experience is acceptable.
About the Company
Company: Synopsys
Headquarters: Mountain View, California, USA
Synopsys is a leading company in electronic design automation (EDA) and semiconductor IP solutions. It provides tools and services for designing and verifying complex semiconductor devices and systems. The company plays a pivotal role in the semiconductor industry, helping engineers innovate and deliver higher-quality products faster. Synopsys is committed to advancing technology standards and offers a range of software and hardware solutions to its clients globally.
