Senior AI Solutions Architect — Industrial Engineering

NVIDIA Corporation; California (MO); Hybrid; USD 184,000 - 288,000; Full time

Job summary

NVIDIA Corporation is seeking a Senior Solutions Architect to support Industrial Engineering accounts—CAE/CFD/FEA ISVs, simulation platforms, and industrial OEMs—building physics-based and AI-augmented engineering workflows on NVIDIA platforms.

You will be a trusted technical advisor, helping developers GPU-accelerate solvers, applying physics-informed ML and surrogate modeling, and accelerating design, simulation, and optimization cycles.

Qualifications

• 8+ years in CAE/CFD/FEA or computational engineering.
• Hands-on experience with commercial or open-source simulation tools.
• Strong grounding in FEM/FVM and linear algebra.
• Experience programming in Python and C/C++, with GPU workloads.

Responsibilities

• Support Business Development and Sales teams within a Solutions Architecture team.
• Collaborate with Industry Business leads and developers in customer-facing settings.
• Help developers GPU-accelerate and scale CAE/CFD/FEA workloads on NVIDIA platforms.
• Apply physics-informed ML and surrogate modeling to compress cycles.
• Analyze architectures and identify acceleration opportunities.
• Provide feedback and collaborate with engineering, product, and research teams.
• Deliver trainings, hackathons, and technical demos on NVIDIA solutions.

Skills

Python

C/C++

GPU-accelerated computing

Solvers & HPC

Communication skills

Team collaboration

Education

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

Tools

ANSYS

Siemens Simcenter

Altair

OpenFOAM

Abaqus

NVIDIA CUDA

CUDA-X libraries cuBLAS cuSPARSE cuDNN

Slurm

Kubernetes

Job description

NVIDIA Corporation is seeking a Senior Solutions Architect to support Industrial Engineering accounts—CAE/CFD/FEA ISVs, simulation platforms, and industrial OEMs—building physics-based and AI-augmented engineering workflows on NVIDIA platforms.

You will be a trusted technical advisor, helping developers GPU-accelerate solvers, applying physics-informed ML and surrogate modeling, and accelerating design, simulation, and optimization cycles.