Solutions Architect, Physical AI and Omniverse

About the role

The Solutions Architect will play a pivotal role in boosting the adoption of NVIDIA DSX Sim, Omniverse libraries, and AI agent skills. This position aims to establish DSX Sim as a shared, simulation-ready decision layer for AI factory creation, and provide partners with actionable methods to embed accelerated rendering, physics, storage, streaming, and user interface capabilities into their applications.

Responsibilities

• Aid 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

• 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.

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.

Skills

• Strong problem-solving and communication skills.
• Ability to work effectively in a fast-paced, dynamic environment.
• Excellent organizational and time management skills.
• Proficiency in industry-standard software tools and technologies.

Benefits

• Competitive base salary ranging from $124,000 to $195,500 for Level 2, and $152,000 to $241,500 for Level 3.
• Eligibility for equity and benefits.

Pay

• Base salary determined based on location, experience, and the pay of employees in similar positions.

Schedule

• Full-time position.

How to stand out

• 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.