R&D Engineering, Staff Engineer - 18291

Date posted 08/02/2026

Category Engineering Hire Type Employee Job ID 18291 Base Salary Range $120000-$180000 Remote Eligible No Date Posted 08/02/2026

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 computational mechanics software that engineers actually depend on to simulate real-world physics, not toy problems, but production simulations running on massive clusters where performance and accuracy both matter. The difference between code that scales to thousands of cores and code that stalls out is something you understand at the implementation level, not just in theory. You have debugged parallel code that behaves differently on different architectures, and you know how to trace that back to a memory access pattern or a communication bottleneck that no profiler flagged.

Moving work from CPU to GPU is not a buzzword exercise for you. You have done it. You know what translates cleanly and what requires rethinking the algorithm entirely. Designing and extending mechanics software within large Fortran and C codebases is familiar territory. You are comfortable in code that predates modern tooling, and understand the underlying physics and numerical algorithms needed for complex engineering simulations. OpenMP, MPI, CUDA, OpenACC: these are not resume keywords, they are tools you reach for depending on the problem.

At Synopsys, you will work on LS-DYNA, software that powers crash simulations, structural analysis, and complex dynamics problems across automotive, aerospace, and civil engineering. The team is small, the problems are hard, and what you build will run on some of the largest supercomputers in the world.

What You'll Be Doing

Develop, optimize, and maintain LS-DYNA solvers and features including CPG, CPM, SPH, DEM, PBM, and EGMM methods

Contribute to the development of meshfree and finite element methods that balance accuracy, stability, and computational efficiency

Port SPH and other performance-critical features from CPU to GPU using OpenACC, OpenMP Offload, and CUDA

Debug and resolve consistency issues in LS-DYNA HYBRID on large-scale customer models where identical inputs must produce identical results regardless of thread count or CPU allocation

Implement and optimize parallel algorithms using OpenMP and MPI for distributed memory and