R&D Staff Engineer — GPU-Accelerated Mechanics & HPC

Synopsys; Livermore (CA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Synopsys is seeking a senior computational mechanics software engineer to advance LS-DYNA solvers for automotive, aerospace, and civil engineering applications. The role focuses on performance, scalability, and accuracy on massive HPC clusters and GPU-accelerated systems.

You will port and optimize SPH/Cd algorithms, develop meshfree and FE methods, and collaborate with ACE engineers and customers to deliver production-ready fixes. Hybrid work in Livermore, CA is supported.

Qualifications

• Bachelor's or Master's in Mechanical Engineering, Civil Engineering, Computer Science, or related field.
• 4-5+ years of hands-on experience developing computational mechanics software or HPC simulation tools.
• Strong proficiency in Fortran, C, and C++ for performance-critical scientific computing.
• Demonstrated experience with parallel programming using OpenMP and MPI in production codebases.
• Solid understanding of finite element methods, meshfree methods, or computational dynamics.
• Experience with GPU programming using CUDA, OpenACC, or OpenMP Offload is a strong plus.
• Familiarity with profiling and debugging tools for parallel and GPU-accelerated applications is a plus.

Responsibilities

• 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 shared memory systems
• Profile, benchmark, and tune code performance on HPC clusters and GPU-accelerated systems
• Collaborate with ACE engineers and customers to translate requirements into software solutions, diagnosing simulation issues and delivering fixes that hold up in production environments

Skills

Fortran

C

C++

OpenMP

MPI

CUDA

OpenACC

GPU programming

Education

Bachelor's or Master's in Mechanical Engineering, Civil Engineering, Computer Science, or related field

Tools

CUDA

OpenACC

OpenMP Offload

OpenMP

MPI

Job description

Synopsys is seeking a senior computational mechanics software engineer to advance LS-DYNA solvers for automotive, aerospace, and civil engineering applications. The role focuses on performance, scalability, and accuracy on massive HPC clusters and GPU-accelerated systems.

You will port and optimize SPH/Cd algorithms, develop meshfree and FE methods, and collaborate with ACE engineers and customers to deliver production-ready fixes. Hybrid work in Livermore, CA is supported.