Solutions Architect, Physical AI, Omniverse
Location
California
Posted
2 days ago
Salary
$124K - $195.5K / year
Seniority
Mid Level
Job Description
Solutions Architect, Physical AI, Omniverse
NVIDIA
• 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.
Job 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.
Benefits
- Equity
- Benefits
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