R&D Staff Engineer – OPC Modeling

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, C++, Data structuring, Design, Effective communication skills, Machine learning techniques, Mathematical modeling, Python Programming

Job Description

R&D Staff Engineer – OPC Modeling  

Synopsys is looking for a highly motivated software engineer to help enable leading edge semiconductor manufacturing processes by joining our computational lithography modeling team. As part of the Proteus R&D team, you will have a unique opportunity to combine mathematical modeling of physics based processes, with complex software engineering requirements, to help solve previously unsolved problems and enable next generation semiconductor manufacturing. This dynamic, collaborative, and exciting environment offers plenty of opportunities for both broad exposure to new technologies, as well as the ability to learn deeply within specific modeling topics.

The responsibilities include:  

• Maintaining and improving existing mathematical models and their software implementations  
• Working with field support team and customers to understand new technical requirements  
• Designing innovative, physics-driven model solutions by analyzing customer data  
• Creating specifications for prototyping, and developing new modeling solutions  
• Collaborating with cross functional teams to integrate modeling solutions into existing products  

• Optimization and calibration of empirical model parameters 
• Understanding and exploring Machine Learning based modeling techniques to achieve superior accuracy and runtime performance of physics based models. 

Qualification Requirements:  

• Demonstrated analytical and problem-solving skills with strong desire to explore new technologies  

• Solid programming skills in C++ and Python and familiar with data structures and algorithms  
• Strong background in physical modeling, statistical analysis and optimization  
• Experience in numerical computation  
• Good communication skills and the ability to work in a team environment  
• MS in CS/EE/physics/applied math or related fields with 3+ years, or PhD in related fields  

Nice to have:  

• Experience in computational lithography, image processing, or machine learning  
• Experience in the development of large, complex software projects  

The EDA Group is focused on solving the semiconductor design industry’s high-value problems, including the march to angstroms, multi-die system integration, rapid node migration, right-first-time silicon, and reliability. Our full EDA software stack, spanning system architecture, design capture, verification, implementation, signoff, silicon lifecycle management (SLM), TCAD, and silicon manufacturing, enables our customers to rapidly bring high-performance chip designs to market. Our EDA stack is further augmented with hyperconvergence, AI engines, and data analytics that enable our customers to target their toughest productivity bottlenecks at every stage of chip design.  

At Synopsys, we’re at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the Era of Smart Everything. And we’re powering it all with the world’s most advanced technologies for chip design and software security. If you share our passion for innovation, we want to meet you.  

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Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.  

“The base salary range across the U.S. for this role is between $117,000 to $204,000. In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.”