This role pays more than
72%
of similar roles. Most pay
$177,250–$244,850
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$211k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
867 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 849 roles with salary data.
As a Senior Product Marketing Manager, Real-to-Sim and Simulation Frameworks, you will join the product team to define how developers transform real-world data into high-fidelity virtual environments for Physical AI development. You will own the global go-to-market strategy, messaging architecture, and portfolio narrative for simulation frameworks, including neural reconstruction, digital twins, and co-simulation. Your daily work involves collaborating with engineering, research, and product management to influence roadmap priorities and developer experience across robotics, autonomous vehicles, vision AI, and industrial applications. You will build a cohesive developer narrative by integrating physics engines, neural world models, sensor simulation, and open Physical AI datasets into interoperable environments. Key technical areas include computer graphics, physics, accelerated computing, and real-to-sim pipelines. You will drive adoption through reference architectures, technical content, workshops, and strategic partnerships with cloud providers and research institutions.
Own the global product marketing strategy and go-to-market roadmap for the real-to-sim and simulation frameworks portfolio.
Create a cohesive developer narrative covering data capture, reconstruction, scene creation, and closed-loop testing.
Define the messaging architecture for physics engines, neural world models, sensor simulation, and digital twins.
Influence product strategy and roadmap priorities by partnering with engineering, research, and product management teams.
Drive developer adoption through reference architectures, technical content, workshops, and sample workflows.
Establish strategic joint go-to-market programs with cloud providers, system integrators, and open-source communities.
Translate complex technical capabilities into differentiated value propositions for robotics, autonomous vehicles, and industrial applications.
Represent NVIDIA in high-level engagements with analysts, media, investors, and industry leaders.
What we're looking for
Master's degree or equivalent experience in Engineering, Computer Science, Robotics, Artificial Intelligence, or a related technical field.
12+ years of proven experience in product marketing, technical product marketing, product management, developer relations, or roles 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.
Demonstrated ability to build a unified market narrative across multiple technologies and engineering audiences.
Experience driving developer adoption through technical content, reference workflows, ecosystem programs, and community engagement.
Ability to translate sophisticated technical capabilities into differentiated developer value and measurable business outcomes.
Outstanding written, verbal, and presentation abilities to lead complex cross-functional initiatives across global teams.
Hands-on experience with simulation frameworks, digital twins, robotics, autonomous vehicles, computer vision, or synthetic data (preferred).
Familiarity with neural rendering, 3D Gaussian splatting, neural reconstruction, generative world models, or physics (preferred).
Experience building ecosystems around open-source frameworks, developer platforms, or industry standards (preferred).
Omniverse
OpenUSD
RTX
ovrtx
Isaac Sim
CUDA
Ray Tracing
Path Tracing
Physically Based Rendering
Computer Vision
Synthetic Data Generation
Robotics
Autonomous Systems
Digital Twins
Neural Rendering
Generative AI
High-Performance Computing