Senior AI Solutions Architect, Industrial Engineering

Nvidia

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $152,000–$241,500 / yr
Posted: 7 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k

This role $197k

$139k most similar roles pay here $274k

This role pays less than 62% of similar roles. Most pay $170,995–$246,150 — the shaded band above. At the midpoint, this role pays about $197k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 928 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 916 roles with salary data.

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At a glance

TL;DR · Senior AI Solutions Architect, Industrial Engineering

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We are seeking a Senior Solutions Architect to join our dedicated team supporting Industrial Engineering accounts, including CAE, CFD, and FEA software vendors, engineering-simulation platforms, and industrial OEMs. In this role, you will act as a technical advisor to simulation and engineering software developers, embedding NVIDIA accelerated computing, Omniverse, and physics-ML into their workflows. Your responsibilities include collaborating with Business Development and Sales teams, working directly with customer simulation teams, and helping developers GPU-accelerate solvers and workloads on NVIDIA platforms. You will also apply physics-informed ML to compress design cycles and analyze application architectures for acceleration opportunities. Ideal candidates have a MS/PhD in engineering or related fields, 4+ years of experience in CAE/CFD/FEA, hands-on experience with simulation tools like Ansys and OpenFOAM, strong numerical methods knowledge, and proficiency in Python/C++ for GPU-accelerated computing. Familiarity with NVIDIA Omniverse, CUDA, Kubernetes, and HPC clusters is a plus.

Skills

NVIDIA_Omniverse CUDA Python C C++ GPU HPC Slurm Kubernetes OpenFOAM Ansys Siemens_Simcenter Altair COMSOL Cadence_Fidelity_CFD LS-DYNA Abaqus cuBLAS cuSPARSE cuDNN NVIDIA_PhysicsNeMo Modulus GitHub

What you'll do

Support Business Development and Sales teams in driving ecosystem success across Industrial Engineering accounts.
Work directly with engineering-software developers to GPU-accelerate and scale CAE/CFD/FEA solvers on NVIDIA platforms.
Apply physics-informed ML and surrogate modeling to compress design, simulation, and optimization cycles.
Analyze simulation application architectures to find opportunities for acceleration on NVIDIA solutions.
Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions and platforms.

What we're looking for

MS/PhD in relevant engineering or computational science field or equivalent experience.
4+ years of hands-on experience in CAE/CFD/FEA or related numerical simulation work.
Proficiency with commercial and open-source simulation tools like Ansys, OpenFOAM, etc.
Strong background in numerical methods, linear algebra, and physics solver mathematics.
Experience programming algorithms in Python/C/C++ for GPU-accelerated computing.
Familiarity with accelerated computing platforms, HPC clusters, and container technologies.

Senior Solutions Architect, AI Infrastructure

Nvidia

Austin, TX +3 37 days ago $184,000–$287,500

NVIDIA_Ethernet InfiniBand GPUs CPUs PCIe DPUs NICs HCAs switches rack_scale_design system_hardware_architecture kernel_drivers PCIe_devices AI_data_centers POCs_for_AI_solutions

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