R&D Engineering, Sr Staff Engineer

We Are

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

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.

What You'll Be Doing

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.

The Impact You Will Have

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

What You'll Need

Master's degree in engineering, scientific computing, numerical computation, or a related field with at least 5 years of relevant professional experience, or a PhD in a relevant field with at least 3 years of professional experience.

Significant experience in scientific or technical software development.

Strong development skills in C++ and Python.

Experience in processing and manipulating scientific data.

Experience in developing post-processing pipelines for numerical solvers.

Strong analytical skills and a problem-solving orientation.

Understanding of physical simulation concepts (mechanics, fluids, electromagnetism, or related fields).

Experience with gRPC, MPI, OpenUSD, or GPU programming is a plus

Who You Are

Passion for developing robust and high-performance software.

Strong communication and collaboration skills.

Ability to learn quickly and work in an international environment.

You debug methodically, whether the issue is in your code, a third-party library, or a data format mismatch

You are comfortable working across teams and geographies, communicating clearly in English with colleagues who may not share your technical background

You know when to optimize for performance and when to optimize for clarity, and you can explain the tradeoff

The Team You'll Be Part Of

The engineer will collaborate with software development teams and simulation experts to design robust and scalable solutions for scientific computing workflows. Strong expertise in scientific software development, APIs, and solver post-processing is essential.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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