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.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- 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 ML primitives behind interactive world models including diffusion or flow-matching models, autoregressive / causal video generation, self-forcing or causal-forcing 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
- Bachelor's degree or equivalent experience
- Results-focused leadership: build process, meet schedules, and maintain high quality bar
- Experience adopting Gaussian splats, NeRFs, neural reconstruction, or neural shading for AV, robotics, simulation, synthetic data, or production rendering workflows
- Hands-on experience building or evaluating world models, video generation, neural rendering systems, Gaussian splatting / NeRF pipelines, or neural shading techniques
- Published or peer-recognized work advancing world models, neural rendering, generative simulation, or production ML infrastructure
- Experience building developer ecosystems or research communities around open-source projects
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
