Senior AI Solutions Architect: GPU-Accelerated Engineering

NVIDIA; Washington; On-site; USD 184,000 - 288,000; Full time

Job summary

NVIDIA is seeking a Senior Solutions Architect to support Industrial Engineering accounts (CAE/CFD/FEA) and engineering-simulation platforms, embedding NVIDIA accelerated computing, Omniverse, and physics-ML into solver and digital-twin workflows. You will be a trusted technical advisor to developers and customers, helping accelerate design cycles on NVIDIA platforms.

In this role you will work with cross-functional teams, deliver trainings and demonstrations, and shape architectures across data

Qualifications

• BS/MS/PhD in Mechanical, Aerospace, Civil, or Chemical Engineering, Computational Science, Applied Mathematics, Physics, or related field (or equivalent experience).
• 8+ years working in CAE/CFD/FEA or computational engineering - numerical simulation, solver development, or HPC-based engineering analysis.
• Hands-on experience with commercial or open-source simulation tools (e.g., Ansys, Siemens Simcenter, Altair, COMSOL, Cadence Fidelity CFD, OpenFOAM, LS-DYNA, Abaqus).
• Strong grounding in numerical methods (FEM/FVM/spectral), linear algebra, and the mathematics behind physics solvers.
• Experience in algorithm programming using Python and C/C++, with familiarity GPU-accelerating compute-intensive workloads.
• Familiarity with accelerated computing platforms, GPU-based distributed systems, and HPC clusters/schedulers (e.g., Slurm).
• Familiarity with containers, numerical libraries, modular software design, version control, GitHub.
• Experience designing, prototyping, and building complex solutions for customers; able to reason across components such as data pipelines, solvers, compute, networking, and orchestration.
• Solid written and oral communication skills and familiarity with collaborative environments.
• Team player who can learn, react, and adapt quickly, with an attitude to work in a fast-paced environment.

Responsibilities

• Support Business Development and Sales teams as part of a small Solutions Architecture team, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive ecosystem success across Industrial Engineering accounts (CAE/CFD/FEA ISVs, simulation platforms, and industrial OEMs).
• Work directly with engineering-software developers and customer simulation teams in a customer-facing setting.
• Help developers GPU-accelerate and scale CAE/CFD/FEA solvers and structural, thermal, and fluid-dynamics workloads on NVIDIA accelerated computing and HPC platforms.
• Apply physics-informed ML and surrogate modeling (e.g., NVIDIA PhysicsNeMo / Modulus) and NVIDIA Omniverse digital twins to compress design, simulation, and optimization cycles.
• Analyze simulation and engineering application architectures and find opportunities for acceleration.Provide feedback and collaborate with engineering, product, and research teams.
• Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions and platforms.

Skills

CAE/CFD/FEA experience

Python & C/C++

GPU-accelerated workloads

Slurm HPC

Containers & GitHub

Communication

Team player

Education

BS/MS/PhD in Mechanical/Aerospace/Civil/Chemical Engineering or related field

8+ years in CAE/CFD/FEA or computational engineering

Tools

Ansys

Siemens Simcenter

Altair

COMSOL

OpenFOAM

LS-DYNA

Abaqus

CUDA

Job description

NVIDIA is seeking a Senior Solutions Architect to support Industrial Engineering accounts (CAE/CFD/FEA) and engineering-simulation platforms, embedding NVIDIA accelerated computing, Omniverse, and physics-ML into solver and digital-twin workflows. You will be a trusted technical advisor to developers and customers, helping accelerate design cycles on NVIDIA platforms.

In this role you will work with cross-functional teams, deliver trainings and demonstrations, and shape architectures across data