Solutions Architect, Physical AI and Omniverse

NVIDIA's Worldwide Field Operations Solutions Architecture team supports third-party software vendors, partners, and customers, transforming advanced technologies into practical solutions. We are hiring a Solutions Architect to boost adoption of NVIDIA DSX Sim, Omniverse libraries, and AI agent skills, establishing DSX Sim as a shared, simulation-ready decision layer for AI factory creation.

Responsibilities:

• 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 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.

Requirements:

• 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.

• 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.

Preferred Qualifications:

• 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.

You will also be eligible for equity and benefits.