Physical AI and Simulation Solution Architect

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.

As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a Physical AI and Simulation Solution Architect to join our innovative team in Japan. This role stands out because of its distinctive combination of the newest technology, groundbreaking projects, connecting customer demands with field delivery and product engineering, improving how AI factories and industrial digital twins are developed, validated, and put into operation.

What you'll be doing

• As a Physical AI and Simulation Solutions Architect (SA), you will help our customers develop and integrate accelerated Simulation and AI pipelines for their digital twin services and applications. This role involves a mix of architecture consulting, hands-on engineering, and collaboration with internal and external teams.
• Lead technical sales activities of Omniverse customers by being the domain expert in several complimentary SDKs and libraries to advise customers on how to achieve their simulation goals by employing samples demonstrating NVIDIA libraries for PoCs, pilots and hybrid production deployments in the cloud and on-prem.
• Capture field insights, advocate for partner needs, and contribute technical mentorship that improves product direction, enablement resources, and team execution.
• Drive incorporation of Omniverse libraries (ovRTX, ovPhysx, ovStorage, usd-agents, etc) into partner applications, services, and enterprise workflows.
• 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.

What we need to see :

• 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.
• Excellent communication skills in both Japanese and English.
• Hands-on success developing technical prototypes, setting up evaluations, benchmarking solutions, or supporting customer implementations of external libraries.
• 7+ years of relevant engineering, technical sales, or solution architecture experience.
• 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++
• Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent experience.

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.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.