Senior Manager, Interactive World Model Platforms

Overview

• NVIDIA's OmniDreams and FlashDreams are the foundation for a new generation of interactive world-model systems.
• With this release, NVIDIA has set the standard for fidelity, real-time inference performance in world models.
• And, we've put our work in the open with an open weights model release with an associated open source inferencing engine.
• We are on a mission to keep raising that bar, making interactive world models viable wherever dynamic worlds matter: autonomous vehicles, robotics, rendering, and simulation.
• We are seeking an engineering leader to transform this technology lead into an industry standard platform and ecosystem.
• You will form the team that keeps FlashDreams fast, makes OmniDreams useful in real workflows, and helps customers and researchers succeed with the stack.
• Success means more than shipping software: it means high-quality solutions, trusted releases, strong performance, engaged developers, and research feedback that compounds.
• You'll work alongside outstanding research teams and NVIDIA leadership.
• If turning breakthrough research into something developers rely on every day sounds like the best job you can envision, we'd love to talk.
• What you'll be doing: Scale the engineering team building NVIDIA's interactive world-model platform across OmniDreams, FlashDreams, AlpaSim technologies.
• Establish the production engineering path for interactive world models in AV, rendering, robotics, and simulation.
• Build the architecture and processes needed to turn fast paced research into reliable developer-facing software.
• Own product and engineering excellence: performance, scalability, reliability, developer experience, CI/CD, and release management.
• Partner with research, simulation, rendering, and AV teams to translate world-model breakthroughs into production-ready platform capabilities.
• Grow the open developer and research ecosystem around NVIDIA's world-model stack.
• What we need to see: Demonstrated research or applied innovation in world models, video diffusion, neural rendering, Gaussian splatting / NeRFs, neural reconstruction, neural shading, simulation, robotics, or AV.
• Technical fluency in the ML primitives behind interactive world models, including diffusion or flow-matching models, autoregressive / 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.
• 12+ overall years experience, 5+ years leading teams.
• Bachelors degree or equivalent experience.
• Results-focused leadership: you build the process, hit the dates, and hold the quality bar.
• Ways to stand out from the crowd: Experience adopting Gaussian splats, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques for AV, 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 / NeRF pipelines, or neural shading techniques.
• Experience moving from earlier neural rendering approaches, such as NeRFs or Gaussian splatting, toward generative world models for interactive simulation, rendering, robotics, or AV.
• Published or peer-recognized work advancing the state of the art in world models, neural rendering, generative simulation, video generation, or production ML infrastructure.
• Experience building developer ecosystems or research communities around open-source projects.