R&D Engineer
2 weeks ago
We are seeking a highly skilled and motivated software engineer to join our R&D team at Synopsys. As a key member of our Proteus OPC modeling team, you will be responsible for designing, developing, and productizing full-chip software tools for modeling and simulating lithography and etch processes.
Key Responsibilities- Design and develop innovative, physics-driven model solutions by analyzing customer data
- Create specifications for prototyping and develop new modeling solutions
- Maintain and improve existing functionalities
- Collaborate with cross-functional teams to integrate modeling solutions into existing products
- Address challenging problems in advanced software engineering to develop innovative and highly efficient software architectures, interfaces, algorithms, and data structures
- Demonstrated analytical and problem-solving skills with a strong desire to explore new technologies
- Solid programming skills in C++ and Python and familiarity with data structures and algorithms
- Strong background in physical modeling, statistical analysis, and optimization
- Experience in numerical analysis and numerical computation, such as Fourier analysis, sampling theory, basis functions, PDE solver, etc.
- MS in CS/EE/physics/applied math or related fields with 5+ years, or PhD with 3+ years of experience
Synopsys is a leading provider of electronic design automation (EDA) software and services. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.
We are committed to inclusion and diversity and consider all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.
At Synopsys, we offer a competitive total rewards package, including comprehensive health, wellness, and financial benefits. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education.
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