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.
You will also be eligible for equity and benefits.
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.Skills Required
- Bachelor's degree in computer science, engineering, or related technical field, or equivalent experience.
- 2+ years of relevant engineering, technical sales, or solution architecture experience (5+ years considered for higher level).
- Solid base in computer graphics, physically based rendering, physics simulation, engineering simulation, digital twins, or accelerated computing.
- Practical understanding of three-dimensional workflows and asset pipelines using OpenUSD or similar scene-description technologies.
- Programming experience 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 and clearly explain sophisticated concepts to partners, customers, and internal teams.
- OpenUSD certification or significant hands-on OpenUSD asset-pipeline experience.
- Experience with NVIDIA RTX, PhysX, CUDA, multi-physics solvers, or AI surrogate models for high-performance rendering and simulation.
- Experience enabling partner solutions (CAD conversion, synthetic data generation, defect detection, simulation-ready asset creation).
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
