Job Description and Requirements

Staff R&D Engineer
Library characterization
Job Description and Requirements

Synopsys is looking for a highly motivated software engineer to help enable leading edge library characterization and validation solution by joining our library characterization team. As part of the PrimeLib R&D team, you will have a unique opportunity to explore Machine Learning (ML) models centered around a variety of areas within performance improvement, accuracy improvement of liberty models, large scale characterization, ranging from classification problems to complex regression models. Integration of practical, real world ML models with the complex software engineering requirements for library characterization, can make a huge difference in enabling next generation of library characterization. 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:

1. Maintaining and improving existing ML software implementations 
2. Working with field support team and customers to understand new technical requirements 
3. Designing new and improved ML architectures for a wide range of problem areas.
4. Partnering with cross functional teams to enable complex flows across tools 

Qualification Requirements:

1. Demonstrated analytical and problem-solving skills with a desire to explore new technologies 
2. Solid programming skills in C++ and Python and familiar with data structures and algorithms
3. Experience in numerical computation.
4. Deep ML knowledge for architecting solutions, not just training models
5. Knowledge of a broad set of ML techniques and how they apply to problems
6. Good communication skills and the ability to work in a team environment 
7. MS in CS/EE/physics/applied math or related fields with 3+ years, or PhD in related fields 

Nice to have:

1. Experience in computational lithography, image processing, or machine learning 
2. Experience in the development of large, complex software projects 
3. Solid background in mathematical or physical modeling
4. Knowledge of GPU
5. ChatGPT / LLM experience