Senior Manager, Interactive World Model Platforms

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. We have released the model weights and an open‑source inferencing engine. NVIDIA’s mission is to make interactive world models viable wherever dynamic worlds matter—from autonomous vehicles and robotics to rendering and simulation.

Key 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 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.

Qualifications

• Demonstrated research or applied innovation in world models, video diffusion, neural rendering, Gaussian splatting / NeRFs, neural reconstruction, neural shading, simulation, robotics, or autonomous vehicles.
• 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 of experience, 5+ years leading teams.
• Bachelor’s degree or equivalent experience.
• Results‑focused leadership: build the process, hit dates, and uphold the 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 / 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 autonomous vehicles.
• 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.

Benefits

Competitive salaries and a generous benefits package. Base salary ranges are $272,000–$431,250 for Level4 and $320,000–$488,750 for Level5, based on location and experience. Equity and comprehensive benefits are also available. Applications will be accepted until 30June2026.

EEO Statement

NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. NVIDIA values diversity and does not discriminate in hiring or promotion on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.