HPC Solver Engineer: GPU & MPI Optimizations

Ansys, Inc.; Canonsburg (Washington County); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive health benefits

Financial benefits

Flexible working conditions

Job summary

Ansys, Inc. is seeking a skilled engineer to design and optimize parallel programming methods for its Mechanical solver products. This role requires a strong understanding of HPC software and experience with GPU and CPU architectures.

The successful candidate will collaborate with numerical methods experts and solver developers, leading efforts that enhance product performance and scalability across various industries, including automotive and aerospace.

The position offers a competitive benefits package and a collaborative work environment.

Qualifications

• 2+ years of experience in HPC software design and testing.
• Strong hands-on experience in production or research environments.
• Solid understanding of data structures and algorithms.

Responsibilities

• Design and optimize parallel programming methods within Ansys Mechanical products.
• Profile solver performance across CPU and GPU architectures.
• Maintain code benchmarking suites to catch regressions.

Skills

HPC software design

MPI

C/C++

Fortran

GPU programming (CUDA, OpenMP)

Education

Bachelor's degree in Mechanical Engineering, Computational Science, Applied Mathematics, Physics, or related field

Master's degree or PhD preferred

Tools

Git

Intel VTune

NVIDIA Nsight

CMake

Job description

Ansys, Inc. is seeking a skilled engineer to design and optimize parallel programming methods for its Mechanical solver products. This role requires a strong understanding of HPC software and experience with GPU and CPU architectures.

The successful candidate will collaborate with numerical methods experts and solver developers, leading efforts that enhance product performance and scalability across various industries, including automotive and aerospace.

The position offers a competitive benefits package and a collaborative work environment.