Senior R&D Engineer: Computational Mechanics and HPC

Synopsys Inc; Livermore (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

Synopsys Inc. in California's Livermore area seeks an experienced R&D Engineer II to contribute to LS-DYNA related software development. You will collaborate with a team to understand customer requirements and deliver robust computational mechanics solutions.

The role requires strong knowledge of finite element methods, solid programming skills (C/Fortran/C++), and the ability to work in a distributed team environment.

Qualifications

• Bachelor’s degree with 2+ years of professional experience or a Master’s degree in a relevant engineering field.
• Strong programming skills and demonstrated project experience in technical software development.
• Preferred candidates located in or willing to relocate to Livermore, CA.

Responsibilities

• Performs development activities including design, implementation, maintenance, testing and documentation of software modules and subsystems.
• Adheres to best practices and supports bug verification, release testing, and beta support for products.
• Understands marketing requirements for product, including target environment, performance criteria and competitive issues.
• Works under general supervision of a development manager.
• Collaborates with a team to understand customer requirements and achieve development objectives.

Skills

LS-DYNA

FEA

C/C++

Fortran

Team collaboration

Communication

Education

Bachelor's degree + 2 years experience

Master's degree in Aerospace/Mechanical/related

PhD preferred

Tools

LS-DYNA

Ansys

CAD

CUDA

Job description

Synopsys Inc. in California's Livermore area seeks an experienced R&D Engineer II to contribute to LS-DYNA related software development. You will collaborate with a team to understand customer requirements and deliver robust computational mechanics solutions.

The role requires strong knowledge of finite element methods, solid programming skills (C/Fortran/C++), and the ability to work in a distributed team environment.