Senior AI Solutions Architect - Industrial Engineering

NVIDIA • Santa Clara, CA

6d • $152,000 - $287,500

About The Position

NVIDIA is seeking a Senior Solutions Architect to support its Industrial Engineering accounts, including CAE, CFD, and FEA software vendors, engineering-simulation platforms, and industrial OEMs. The role involves acting as a trusted technical advisor to simulation and engineering software developers, integrating NVIDIA's accelerated computing, Omniverse, and physics-ML technologies into their pipelines. The goal is to enhance application performance, speed up design and simulation cycles, and build the technical foundation for next-generation engineering and digital-twin systems. This position offers an opportunity to be part of a unique legacy of innovation and contribute to the next era of computing powered by AI.

Requirements

• MS/PhD in Mechanical, Aerospace, Civil, or Chemical Engineering, Computational Science, Applied Mathematics, Physics, or a related technical field (or equivalent experience).
• 4+ years of experience in CAE/CFD/FEA or computational engineering, including 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 understanding of numerical methods (FEM/FVM/spectral), linear algebra, and the underlying mathematics of physics solvers.
• Proficiency in algorithm programming using languages such as Python and C/C++, with experience in 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, and GitHub.
• Experience in designing, prototyping, and building complex solutions for customers, with the ability to reason across components like data pipelines, solvers, compute, networking, and orchestration.
• Solid written and oral communication skills, with experience in collaborative environments.
• Ability to learn, react, and adapt quickly in a fast-paced environment, demonstrating a team-player attitude.

Nice To Haves

• Experience GPU-accelerating CFD/FEA solvers, or developing physics-ML and surrogate models (NVIDIA PhysicsNeMo/Modulus, physics-informed neural networks).
• Experience with NVIDIA Omniverse, OpenUSD, and digital-twin workflows for industrial and engineering simulation.
• Development experience with NVIDIA software libraries and GPUs, including CUDA and CUDA-X math libraries (cuBLAS, cuSPARSE, cuDNN).
• Experience with Kubernetes, distributed training, and large-scale inference.
• Experience supporting or using PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages.

Responsibilities

• Support Business Development and Sales teams as part of a Solutions Architecture team, collaborating with Industry Business leads, Account Managers, and Developer Relations managers to foster ecosystem success within Industrial Engineering accounts (CAE/CFD/FEA ISVs, simulation platforms, and industrial OEMs).
• Engage directly with engineering software developers and customer simulation teams in a customer-facing capacity.
• Assist developers in GPU-accelerating and scaling CAE/CFD/FEA solvers and workloads related to structural, thermal, and fluid dynamics 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 reduce design, simulation, and optimization cycles.
• Analyze the architecture of simulation and engineering applications to identify opportunities for performance acceleration.
• Provide feedback and collaborate with NVIDIA's engineering, product, and research teams.
• Deliver training sessions, hackathons, and technical demonstrations showcasing NVIDIA solutions and platforms.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior