Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
CI/CD @ 4
Leadership @ 4
AI @ 4
Robotics @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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 and real-time inference performance in world models. The work is released with open weights and an associated open-source inferencing engine. The team aims to make interactive world models viable in domains where dynamic worlds matter: autonomous vehicles, robotics, rendering, and simulation.
You will be an engineering leader transforming 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 will work alongside research teams and NVIDIA leadership to turn breakthrough research into dependable developer-facing software.
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 (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.
Requirements
- 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+ years overall experience, with 5+ years leading teams.
- Bachelor's degree or equivalent experience.
- Results-focused leadership: ability to build processes, meet deadlines, and maintain a high quality bar.
Ways to stand out
- 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 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.
Compensation and benefits
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5. You will also be eligible for equity and benefits.
Additional information
Applications for this job will be accepted at least until June 20, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is an equal opportunity employer and is committed to fostering an inclusive work environment.