HPC Software Engineer

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

What You'll Be Doing

• Design, implement, and optimize parallel programming methods within Ansys Mechanical solver products using MPI, GPU programming models like CUDA, HIP, SYCL, OpenMP, and other HPC frameworks.
• Profile solver performance across CPU and GPU architectures using tools such as Intel VTune, NVIDIA Nsight, or similar, and translate findings into actionable performance improvements.
• Build and maintain code benchmarking suites that track solver performance across releases and catch regressions before they ship.
• Drive adoption of modular, hardware-agnostic HPC programming models across multiple solver codebases, working with development teams to ensure consistency and reusability.
• Collaborate with numerical methods experts to translate complex algorithmic requirements into performant, maintainable software designs.
• Support procurement, configuration, and management of HPC development and testing platforms, including on‑premise clusters and cloud-based environments.
• Own packaging, build system work, and DevOps tooling using CMake, Azure DevOps, Conan, Docker, or CI/CD pipelines to streamline deployment and testing workflows.

The Impact You Will Have

• Reduce solve times for engineering simulations used by leading companies across automotive, aerospace, energy, and electronics industries.
• Enable customers to run larger, more complex models by making solvers scale efficiently across hundreds or thousands of cores.
• Accelerate the adoption of GPU computing in production simulation workflows, unlocking new performance tiers for users with modern hardware.
• Improve developer productivity across multiple solver teams by building reusable HPC frameworks and shared tooling.
• Ensure performance consistency and reliability across solver releases through rigorous benchmarking and regression testing.
• Help shape the technical direction of Synopsys simulation products as HPC architectures and customer workloads continue to evolve.
• Support faster iteration cycles for product development teams by streamlining build, test, and deployment infrastructure.

What You'll Need

• Minimum requirements: Bachelor's degree in Mechanical Engineering, Computational Science, Applied Mathematics, Physics, or related fields with 2+ years of experience, or Master's degree in a related field. PhD preferred.
• Strong hands‑on experience with HPC software design, testing, and deployment in production or research environments.
• Solid understanding of data structures, algorithms, and performance considerations in parallel computing contexts.
• Proficiency with Git and collaborative development workflows across distributed teams.
• Proficiency in Fortran and C/C++ for performance‑critical code development.
• Experience with MPI and distributed memory programming models.
• Experience with GPU hardware and at least one GPU programming model such as CUDA, HIP, SYCL/oneAPI, OpenMP, OpenACC, or Kokkos is a strong plus.

Who You Are

• You can look at a profiler trace and identify the bottleneck without needing three meetings to discuss it.
• You write code that other engineers can pick up six months later without needing you to explain every design choice.
• You ask clarifying questions when a requirement is vague rather than guessing and building the wrong thing.
• You are comfortable managing your own time across multiple priorities and know when to elevate blockers versus solve them yourself.
• You can explain a technical tradeoff between two HPC approaches to a domain expert in terms they care about, not just what the benchmark says.
• You stay current with HPC architecture trends and programming models without needing to be told, because you care about building software that will still perform well two hardware generations from now.

The Team You'll Be Part Of

You will work within the Ansys Mechanical R&D organization, collaborating with numerical methods experts, solver developers, and other HPC engineers across a geographically distributed team. Your work will directly support the performance and scalability of industry‑leading simulation products used by engineers worldwide to design and validate critical systems.

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.