Solutions Architect, Physical AI, Omniverse

NVIDIA

Solutions Architect enhancing NVIDIA's AI factory technologies by collaborating with partners and customers. Driving the adoption of DSX Sim and Omniverse in industrial applications.

Posted 7/16/2026full-timeRemote • California • 🇺🇸 United StatesJuniorMid-Level💰 $124,000 - $195,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting simulation workflows and developing reusable reference architectures for AI factory digital twins, leveraging technologies such as OpenUSD and Omniverse libraries. Strong ability to translate technical requirements into actionable solutions while fostering collaboration with partners and internal teams.

Highest-signal resume keywords

Python ProgrammingC++ ProgrammingOpenUSD Asset PipelinesDigital Twin DevelopmentTechnical Sales Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computer GraphicsPhysics SimulationEngineering SimulationAccelerated ComputingThree-Dimensional WorkflowsBenchmarking SolutionsTechnical PrototypingSolution Architecture

Soft Skills

Technical MentorshipClear CommunicationRelationship Management

Tools & Technologies

Omniverse LibrariesOvRTXOvPhysxOvStorageUsd-agents

Industry Keywords

Simulation WorkflowsAsset PipelinesMulti-Physics SimulationField InsightsCustomer Implementations

Tech Stack

Tools & technologies

JavaPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Equity
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