Description
Synopsys software engineers are key enablers in the world of Electronic Design Automation (EDA), developing and maintaining software used in chip design, verification and manufacturing. They work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development.
You have spent years building software that sits between physics and computation, where the code has to be correct, performant, and maintainable all at once. You understand that a well-designed API is what makes a solver actually usable in production, and you have built enough post-processing pipelines to know where they break under real data loads. Writing clean C++ that handles large-scale simulation data is second nature to you, and you know when to reach for Python to prototype or orchestrate workflows without overthinking it.
You are comfortable working with scientists and engineers who care deeply about their results, and you translate their needs into software that does not just work today but scales tomorrow. Debugging a data exchange issue or refactoring a module for performance does not intimidate you, it is part of the craft. You care about documentation because you have inherited enough undocumented code to know better. At Synopsys, you will work on multiphysics simulation software that powers real R&D workflows across industries, and the modules you build will shape how engineers interact with complex solvers every day.
Design, develop, and maintain software modules and APIs for multiphysics simulation workflows. Participate in the processing and exchange of large-scale simulation data. Develop post-processing and analysis tools for numerical solver results. Contribute to software validation, debugging, testing, and product maintenance. Collaborate with multidisciplinary teams on the evolution of software components. Ensure technical documentation of completed developments.
Enable engineers and researchers to run multiphysics simulations more efficiently by delivering robust integration and data processing tools. Reduce friction in solver workflows by designing APIs that are intuitive, performant, and well-documented. Accelerate time to insight by building post-processing tools that handle complex simulation outputs at scale. Improve software reliability and maintainability across the simulation platform through rigorous testing and clean architecture. Shape the evolution of Synopsys simulation software by contributing to design decisions and technical direction. Support cross-disciplinary collaboration by bridging the gap between numerical methods and software engineering. Strengthen the foundation for future simulation capabilities by building modular, extensible components.