R&D Engineering, Staff Engineer - 18291

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 methodsContribute to the development of meshfree and finite element methods that balance accuracy, stability, and computational efficiencyPort SPH and other performance-critical features from CPU to GPU using OpenACC, OpenMP Offload, and CUDADebug 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 allocationImplement and optimize parallel algorithms using OpenMP and MPI for distributed memory and shared memory systemsProfile, benchmark, and tune code performance on HPC clusters and GPU-accelerated systemsCollaborate with ACE engineers and customers to translate requirements into software solutions, diagnosing simulation issues and delivering fixes that hold up in production environments The Impact You Will Have Reduce simulation runtime for automotive crash models by porting SPH solvers to GPU, enabling faster design iteration cycles for customersImplement novel numerical techniques to enable customers to solve increasingly complex engineering challengesResolve consistency and accuracy issues in HYBRID solvers that directly affect customer confidence in simulation results, ensuring production runs scale reliably across varying compute resourcesImprove scalability of LS-DYNA on next-generation HPC architectures, ensuring the software remains competitive as hardware evolvesDeliver performance improvements that allow engineers to run larger, more detailed models without requiring additional compute resourcesContribute to the long-term maintainability and robustness of a codebase used by thousands of engineers worldwideHelp customers move critical workloads to modern HPC platforms, reducing their time to insight and increasing their R&D throughput What You'll Need Bachelor's or Master's in Mechanical Engineering, Civil Engineering, Computer Science, or related field4-5+ years of hands-on experience developing computational mechanics software or HPC simulation toolsStrong proficiency in Fortran, C, and C++ for performance-critical scientific computingDemonstrated experience with parallel programming using OpenMP and MPI in production codebasesSolid understanding of finite element methods, meshfree methods, or computational dynamicsExperience with GPU programming using CUDA, OpenACC, or OpenMP Offload is a strong plusFamiliarity with profiling and debugging tools for parallel and GPU-accelerated applications is a plus Who You Are You have experience designing, implementing, and extending mechanics software and are comfortable working within large Fortran and C codebasesYou can collaborate effectively with customers and colleagues to translate customer requirements into software solutionsYou know how to isolate a performance bottleneck and propose a fix that improves runtime without sacrificing correctnessYou are willing to work hybrid in Livermore, CA, three days per week in the office with a team of six engineers who care deeply about the quality of the code they ship The Team You'll Be Part Of You will join a team of six engineers working on the Ansys Mechanical Product within Synopsys. The team focuses on CPG, CPM, SPH, DEM, PBM, EGMM solvers, HPC optimization, GPU acceleration, and benchmarking. You will collaborate closely with the ACE (Application and Customer Engineering) team, who handle most customer issues, but you will also work directly with customers when technical problems require deeper solver-level investigation. This is an individual contributor role working on LS-DYNA, one of the most widely used explicit dynamics simulation platforms in the world. 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.