GPU-Accelerated Solid Mechanics Engineer

CDFAM - Computational Design Symposium; Palo Alto, Northern (CA, KY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation with equity

Flexible work environment

Job summary

Vinci4d seeks a software engineer operating at the intersection of computational solid mechanics, numerical methods, and high-performance computing. You will design, implement, and tune solvers for geometric and material nonlinearity, building production-grade code and contributing to CI/CD pipelines.

You will work on nonlinear solvers, FEM discretizations, GPU acceleration, and performance profiling in a collaborative, fast-moving team. Flexible work environment and equity participation offered.

Qualifications

• 3–6 years of industry or research experience in computational mechanics, numerical simulation, or HPC.
• Portfolio of work—open-source contributions, published code, or shipped products—that demonstrates the above.
• Strong FEM foundation for solid/structural mechanics.

Responsibilities

• Develop and tune nonlinear solvers for solid mechanics (large deformation, nonlinear constitutive models).
• Build and optimize underlying linear algebra: iterative solvers and preconditioners.
• Port and optimize solvers for GPU execution using CUDA/HIP/SYCL.
• Implement FEM discretizations for structural and thermomechanical solves under challenging conditions.
• Contribute to robust software engineering: VCS discipline, automated testing, CI/CD, code review.
• Collaborate with domain experts to translate models into efficient implementations.
• Profile and benchmark solver performance and eliminate bottlenecks.

Skills

Geometric & material nonlinearity

Finite element method (FEM)

Iterative solvers

Preconditioning techniques

GPU programming

C++ / Python

CI/CD & testing practices

Tools

CUDA

HIP

SYCL

Job description

Vinci4d seeks a software engineer operating at the intersection of computational solid mechanics, numerical methods, and high-performance computing. You will design, implement, and tune solvers for geometric and material nonlinearity, building production-grade code and contributing to CI/CD pipelines.

You will work on nonlinear solvers, FEM discretizations, GPU acceleration, and performance profiling in a collaborative, fast-moving team. Flexible work environment and equity participation offered.