Remote Senior AI Solutions Architect - Industrial Eng

NVIDIA Corporation; Northern (KY); Hybrid; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity and benefits

Job summary

NVIDIA Corporation is seeking a Senior AI Solutions Architect to support Industrial Engineering accounts (CAE/CFD/FEA) across the US with remote options. You will work with software developers and customer teams to accelerate simulations and build digital-twin workflows on NVIDIA platforms.

You will apply physics-informed ML, surrogate modeling, and Omniverse to compress design cycles, analyze architectures, and deliver technical demonstrations.

Qualifications

• Bachelor’s-level or higher in a technical field related to mechanical engineering, computational science, or physics.
• Strong background in numerical methods and solver concepts.
• Experience with GPU-accelerated HPC workflows and large-scale simulations.

Responsibilities

• Support Business Development and Sales teams within a Solutions Architecture context.
• Work directly with engineering-software developers and customer simulation teams.
• Help developers GPU-accelerate and scale CAE/CFD/FEA workloads on NVIDIA platforms.
• Apply physics-informed ML and surrogate modeling to shorten design and optimization cycles.
• Analyze simulation architectures and propose acceleration opportunities.
• Deliver trainings, hackathons, and technical demos on NVIDIA solutions.

Skills

Python

C/C++

GPU compute

FEM/FVM

HPC

Numerical methods

CUDA

Communication

Team collaboration

Education

BS/MS/PhD in Mechanical, Aerospace, Civil, or Chemical Engineering, Computational Science, Applied Mathematics, Physics

Tools

Ansys

OpenFOAM

Abaqus

Siemens Simcenter

CUDA

Kubernetes

Job description

NVIDIA Corporation is seeking a Senior AI Solutions Architect to support Industrial Engineering accounts (CAE/CFD/FEA) across the US with remote options. You will work with software developers and customer teams to accelerate simulations and build digital-twin workflows on NVIDIA platforms.

You will apply physics-informed ML, surrogate modeling, and Omniverse to compress design cycles, analyze architectures, and deliver technical demonstrations.