NVIDIA
Technology
SolutionsArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Solutions Architect at NVIDIA. Skills: Physical AI, Autonomous driving, Robotics, Simulation. Track Physical AI engagements. Drive Physical AI engagements”
Industry & Context.
Solving computational challenges
What They're Looking For.
Must Have
5+ years of experience in technology industry, Master's degree or above, Experience managing technical product programs, Experience managing customer engagement programs, Proficiency in written English, Proficiency in spoken English, Proficiency in written Chinese, Proficiency in spoken Chinese
Nice to Have
Hands-on experience with NVIDIA Physical AI platforms, Experience owning a product roadmap, Experience contributing to a product roadmap, Experience owning a technical program plan, Experience contributing to a technical program plan, Background in autonomous driving, Background in robotics, Background in embodied AI, Background in synthetic data generation, Background in world models, Background in large-scale simulation platforms, Understanding of Physical AI ecosystem trends
What You'll Do.
Track Physical AI engagements
Drive Physical AI engagements
Work with customers’ technical teams
Work with local field teams
Work with global product teams
Serve as technical product management interface
Ensure visibility into engagement status
Ensure visibility into milestones
Ensure visibility into blockers
Ensure visibility into next steps
Coordinate joint projects
Ensure requirements are documented
Track progress through delivery
Understand customers’ Physical AI workloads
Understand customers’ Physical AI requirements
Map requirements to NVIDIA platforms
Track industry trends
Analyze customer adoption patterns
Analyze competitor solutions
Provide insights on product evolution
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Global product teams; Local customers; Local SA teams; Customers; Partners
Communication Scope
Explain complex concepts; Structure documents; Structure dashboards; Structure presentations
Process & Methodology
Milestone tracking, Risk management, Issue resolution, Status communication
Full Job Description
NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers, focusing on defining and solving computational challenges in LLM inference and training acceleration, as well as network communication and data transfer optimization. **What You 'll Be Doing:** * Track and drive ongoing Physical AI engagements across autonomous driving, robotics, and industrial automation, working closely with customers’ technical teams, local field teams, and global product teams. * Serve as the technical product management interface between local customer engagements and NVIDIA product organizations, ensuring clear visibility into engagement status, milestones, blockers, and next steps. * Coordinate joint projects between local SA teams, customers, partners, and global product / engineering teams, ensuring requirements are well documented, and progress is tracked through delivery. * Deeply understand customers’ Physical AI workloads and requirements — including simulation, synthetic data generation, robot learning, digital twins, and embodied AI model development — and map them to NVIDIA platforms such as Isaac Sim, Isaac Lab, Omniverse, Cosmos, DRIVE, and related software stacks. * Track and analyze industry trends, customer adoption patterns, and competitor solutions in autonomous driving, robotics simulation, embodied AI, digital twins, and world foundation models, and provide insights on how NVIDIA Physical AI products should evolve to meet market expectations. **What We Need to See:** * 5+ years of experience in the technology industry in roles such as technical product manager, technical program manager, solutions architect, systems engineer, robotics engineer, or ML engineer, with a master’s degree or above in computer
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