HPC Software Engineer — GPU & MPI Performance

Synopsys, Inc.; Canonsburg (Washington County); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Comprehensive health benefits

Financial wellness offerings

Job summary

Synopsys, Inc. seeks a skilled software engineer to enhance HPC methods in Ansys Mechanical products. You will collaborate with experts to design, optimize, and benchmark performance across solver products, ensuring efficiency on CPU and GPU architectures.

The ideal candidate holds a Bachelor’s degree in a related field and has hands-on experience with HPC software design, parallel programming, and robust development practices. We provide a comprehensive benefits package addressing health and financial wellness.

Qualifications

• 2+ years of experience in HPC software design, testing, and deployment.
• Strong hands-on experience in production or research environments.
• Solid understanding of data structures and performance in parallel computing.
• Experience with MPI and distributed memory programming models.
• Proficiency in at least one GPU programming model such as CUDA.

Responsibilities

• Design and optimize programming methods for Ansys Mechanical solver products.
• Profile solver performance on CPU and GPU architectures.
• Build and maintain code benchmarking suites to track performance.
• Support configuration and management of HPC platforms.
• Own packaging and DevOps tooling for deployment and testing workflows.

Skills

HPC software design

Parallel programming

Fortran

C/C++

MPI

GPU programming

Git

Collaborative development

Education

Bachelor's degree in Mechanical Engineering or related fields

Master's degree in a related field

PhD preferred

Tools

Intel VTune

NVIDIA Nsight

CMake

Azure DevOps

Docker

CI/CD pipelines

Job description

Synopsys, Inc. seeks a skilled software engineer to enhance HPC methods in Ansys Mechanical products. You will collaborate with experts to design, optimize, and benchmark performance across solver products, ensuring efficiency on CPU and GPU architectures.

The ideal candidate holds a Bachelor’s degree in a related field and has hands-on experience with HPC software design, parallel programming, and robust development practices. We provide a comprehensive benefits package addressing health and financial wellness.