Synopsys delivers comprehensive silicon-to-systems solutions that help innovators accelerate development, reduce risk, and drive breakthroughs. Backed by NEA.
About the role
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.
What they're looking for
- 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
More about this role
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...
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