Solutions Architect, Physical AI and Omniverse

NVIDIA is hiring a Solutions Architect, Physical AI and Omniverse in Santa Clara, United States. It pays $124k-$196k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions AI agents among its tools and skills.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

ai-agents

NVIDIA is a leader in accelerated computing, artificial intelligence, and next-generation platform innovation. Our Worldwide Field Operations Solutions Architecture team supports third-party software vendors, partners, and customers. We transform advanced technologies into practical, repeatable solutions. We are hiring a Solutions Architect to boost adoption of NVIDIA DSX Sim, Omniverse libraries, and AI agent skills. This position will establish DSX Sim as a shared, simulation-ready decision layer for AI factory creation! We also provide partners with actionable methods to embed accelerated rendering, physics, storage, streaming, and user interface capabilities into their applications. This role connects 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 will be doing:

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.

What we need to see:

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.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
124,000 USD – 195,500 USD for Level 2; and 152,000 USD – 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Solutions Architect, Physical AI and Omniverse at NVIDIA rates 74 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Solutions Architect, Physical AI and Omniverse is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $124k-$196k a year.
The role is based in US, CA, Santa Clara.
The job was posted on July 16, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agents

Also common in solutions architect jobs at this level

AWS Generative AI Azure LLM Google Cloud Machine learning

Pay

This job starts at: $124k
Typical solutions architect job: $169k

This posting starts 27% below the typical solutions architect job. See solutions architect jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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