Senior Manager, Interactive World Model Platforms

Details

NVIDIA's OmniDreams and FlashDreams are the foundation for a new generation of interactive world-model systems. NVIDIA has released open weights models and an open-source inference engine, with the goal of making interactive world models viable for autonomous vehicles, robotics, rendering, and simulation.

The engineering leader will transform this technology into an industry-standard platform and ecosystem by building a team that keeps FlashDreams fast, makes OmniDreams useful in real-world workflows, and helps customers and researchers succeed with the stack. Success includes shipping high-quality software, trusted releases, strong performance, an engaged developer community, and research feedback that continuously improves the platform.

Responsibilities

• Scale the engineering team building NVIDIA's interactive world-model platform across OmniDreams, FlashDreams, and AlpaSim technologies.
• Establish the production engineering path for interactive world models in autonomous vehicles, rendering, robotics, and simulation.
• Build the architecture and processes required to turn fast-paced research into reliable, developer-facing software.
• Own product and engineering excellence, including performance, scalability, reliability, developer experience, CI/CD, and release management.
• Partner with research, simulation, rendering, and autonomous vehicle teams to translate world-model breakthroughs into production-ready platform capabilities.
• Grow the open developer and research ecosystem around NVIDIA's world-model stack.

Requirements

• Demonstrated research or applied innovation in world models, video diffusion, neural rendering, Gaussian splatting or NeRFs, neural reconstruction, neural shading, simulation, robotics, or autonomous vehicles.
• Technical fluency in the machine learning primitives behind interactive world models, including diffusion or flow-matching models, autoregressive or causal video generation, self-forcing or causal-forcing-style training, Gaussian splatting, NeRFs, and neural reconstruction.
• Demonstrated experience turning research-stage systems into dependable, scalable products.
• At least 12 years of overall experience and at least 5 years of experience leading teams.
• Bachelor's degree or equivalent experience.
• Results-focused leadership, including building processes, meeting deadlines, and maintaining a high quality bar.

Preferred Qualifications

• Experience adopting Gaussian splats, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques for autonomous vehicles, robotics, simulation, synthetic data, or production rendering workflows.
• Hands-on experience building, adapting, or deeply evaluating world models, video generation systems, neural rendering systems, Gaussian splatting or NeRF pipelines, or neural shading techniques.
• Experience transitioning from earlier neural rendering approaches, such as NeRFs or Gaussian splatting, toward generative world models for interactive simulation, rendering, robotics, or autonomous vehicles.
• Published or peer-recognized work advancing the state of the art in world models, neural rendering, generative simulation, video generation, or production machine learning infrastructure.
• Experience building developer ecosystems or research communities around open-source projects.

Compensation and Benefits

• Base salary range of $272,000 to $431,250 USD for Level 4.
• Base salary range of $320,000 to $488,750 USD for Level 5.
• Eligible for equity and benefits.

Applications will be accepted at least until June 30, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is committed to an inclusive work environment and equal opportunity employment.