Drimva

NVIDIA

Senior Product Marketing Manager, Real-to-Sim and Simulation Frameworks

$184K–$288K

US, CA, Santa Clara · Manager · Full-time · Posted Sep 16, 2026

Experience
12+ years; listed experience areas are alternatives.
Education
Master's degree or equivalent experience in Engineering, Computer Science, Robotics, Artificial Intelligence, or a related technical field.

About the job

Leads product marketing and go-to-market for NVIDIA’s real-to-sim and simulation frameworks, driving developer adoption and ecosystem growth for Physical AI.

What you'll do

  • Own portfolio positioning, messaging, launch roadmaps, and global go-to-market strategy.
  • Partner with product, engineering, and research teams to influence strategy, roadmaps, integrations, and developer experience.
  • Drive developer adoption and ecosystem partnerships through technical content, demonstrations, workshops, and coordinated launches.

What they ask for

  • Master's degree or equivalent experience in Engineering, Computer Science, Robotics, Artificial Intelligence, or a related technical field.
  • 12+ years of experience in product marketing, technical product marketing, product management, developer relations, or a role in simulation, AI, robotics, autonomous systems, or developer platforms.
  • Strong technical foundation in simulation, computer graphics, physics, AI, robotics, or autonomous systems.
  • Experience developing go-to-market strategies for technical platforms, frameworks, SDKs, APIs, or open-source technologies.

Nice to have

  • Hands-on experience with simulation frameworks, digital twins, robotics, autonomous vehicles, computer vision, or synthetic data.
  • Familiarity with neural rendering, 3D Gaussian splatting, neural reconstruction, generative world models, or physics.

Pay

184,000 USD - 287,500 USD base salary

Tools

SDKs, APIs, physics engines, neural world models, sensor simulation, digital twins, 3D Gaussian splatting, open-source

AI focus

Markets real-to-sim and simulation tools used to build, train, test, and validate Physical AI systems; NVIDIA also states it uses AI tools in recruiting.

Model-written summary · the original posting is authoritative

First seen Oct 16, 2026 · Last verified Nov 5, 2026 (UTC)