Drimva

NVIDIA

Solutions Architect, Physical AI and Omniverse

$124K–$242K

US, CA, Santa Clara +1 · Full-time · Posted Jul 16, 2026

Location
US, CA, Santa Clara
US, CA, Remote
Experience
2+ years of relevant engineering, technical sales, or solution architecture experience; candidates considered for the higher level typically bring 5+ years.
Education
Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent experience.

About the job

Helps partners and customers adopt NVIDIA DSX Sim and Omniverse technologies by designing simulation workflows and digital-twin solutions for AI factories and industrial environments.

What you'll do

  • Architect and demonstrate workflows to build, validate, optimize, and operationalize AI factory digital twins.
  • Help partners integrate Omniverse libraries and develop simulation-ready asset pipelines.
  • Create reusable architectures, demos, benchmarks, and proofs of concept; coordinate with customers, partners, and internal teams to advance adoption.

What they ask for

  • Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent experience.
  • Relevant background in computer graphics, rendering, physics or engineering simulation, digital twins, or accelerated computing.
  • Practical understanding of 3D workflows and asset pipelines using OpenUSD or similar technologies.
  • Programming experience in Python and a higher-level language such as C, C++, or Java; hands-on prototyping, evaluation, benchmarking, or customer implementation experience.

Nice to have

  • OpenUSD certification or substantial hands-on OpenUSD experience.
  • Experience with digital twins or simulation workflows, or knowledge of rendering, physics, and simulation technologies such as NVIDIA RTX, PhysX, CUDA, multi-physics solvers, or AI surrogate models.

Pay

124,000 USD - 195,500 USD (base salary, Level 2); 152,000 USD - 241,500 USD (base salary, Level 3)

Tools

DSX Sim, Omniverse, OpenUSD, ovRTX, ovPhysx, ovStorage, usd-agents, Python

AI focus

Supports AI factory simulation and digital twins, including AI agent skills, AI surrogate models, and related simulation workflows.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)