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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect, Physical AI and Omniverse - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Experienced - **Salary:** $124,000.0 - $195,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Nvidia CUDA, Computer Graphics, Data Centers, Python (Programming Language), Digital Twin, Information Technology, Industrial Software, Data Pipelines, Data Generation - **Published:** July 17, 2026 - **Apply:** https://www.disabledperson.com/jobs/73717099-solutions-architect-physical-ai-and-omniverse ## About the Role * Bachelor's degree in computer science, engineering, or a related technical field, or equivalent experience. * 2+ years of relevant engineering, technical sales, or solution architecture experience; candidates considered for the higher level typically bring 5+ years of related experience. * A solid base in one or more relevant areas, such as computer graphics, physically based rendering, physics simulation, engineering simulation, digital twins, or accelerated computing. * Practical understanding of three-dimensional workflows and asset pipelines through OpenUSD or similar scene-description, modeling, and data-interchange technologies. * Experience programming in Python and a higher-level language such as C, C++, or Java. * Hands-on success developing technical prototypes, setting up evaluations, benchmarking solutions, or supporting customer implementations of external libraries. * Ability to manage technical relationships, explain sophisticated concepts clearly, and work closely with developers at external software companies, NVIDIA partners, and internal collaborators. Ways to stand out from the crowd: * OpenUSD certification or substantial hands-on work with OpenUSD composition, schemas, validation, optimization, or asset-pipeline development. * Background crafting digital twins or simulation workflows for AI factories, data centers, architecture and engineering, industrial systems, or other complex physical environments. * Knowledge of high-performance rendering techniques, physics, and simulation technologies such as NVIDIA RTX, PhysX, CUDA, multi-physics solvers, or AI surrogate models. * Success enabling partner solutions or building workflows such as computer-aided-design conversion, synthetic data generation, defect detection, neural reconstruction, or simulation-ready asset creation. ## Description * Assist independent software vendors, ecosystem partners, and lighthouse customers in assessing and adopting technologies within DSX Sim, and Omniverse libraries. * Architect and demonstrate simulation workflows that help customers build, validate, optimize, and operationalize AI factory digital twins. * Collaborate with partners to build and validate simulation-ready asset pipelines using OpenUSD, SimReady specifications, engineering data, multi-physics simulation, and operational inputs. * Drive incorporation of Omniverse libraries (ovRTX, ovPhysx, ovStorage, usd-agents, etc) into partner applications, services, and enterprise workflows. * Develop reusable reference architectures, demonstrations, sample workflows, benchmarks, and proof-of-concept evaluations that address customer challenges. * Translate technical and business requirements into clear solution plans while coordinating with sales, product engineering, developer relations, and partner teams to resolve blockers and advance adoption. * Gather field insights, advocate for partner needs, and contribute technical mentorship that improves product direction, enablement resources, and team execution. ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Every CEO needs a digital twin to understand the scope of generative AI](https://www.wearedevelopers.com/videos/1006-every-ceo-needs-a-digital-twin-to-understand-the-scope-of-generative-ai) - [Physical AI for the Next Wave of Industrial Digitalisation](https://www.wearedevelopers.com/videos/100039-physical-ai-for-the-next-wave-of-industrial-digitalisation) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [How Robots Learn to be Robots](https://www.wearedevelopers.com/videos/1632-how-robots-learn-to-be-robots) ## Related Articles - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? 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