Role at a glance
- Salary
- $272K – $488.8K/yr
- Location
- 3 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 12+ overall years experience, 5+ years leading teams.
- Education
- Bachelors degree or equivalent experience.
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Role Summary
The engineering leader will build NVIDIA’s interactive world-model platform and ecosystem across OmniDreams, FlashDreams, and AlpaSim. The role translates research breakthroughs into reliable, developer-facing capabilities for autonomous vehicles, rendering, robotics, and simulation while supporting developers, researchers, and customers.
What You'll Do
- 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, including performance, scalability, reliability, developer experience, CI/CD, and release...
- Partner with research, simulation, rendering, and AV teams to translate world-model breakthroughs into production-ready platform...
- Grow the open developer and research ecosystem around NVIDIA's world-model stack.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
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 listed ML primitives; experience turning research-stage systems into dependable, scalable products; 12+ overall years experience and 5+ years leading teams.
Required
- Demonstrated research or applied innovation in world models, video diffusion, neural rendering, Gaussian splatting / NeRFs, neural...
- Technical fluency in diffusion or flow-matching models, autoregressive / causal video generation, self-forcing or causal-forcing style...
- Demonstrated experience turning research-stage systems into dependable, scalable products.
- Results-focused leadership: you build the process, hit the dates, and hold the quality bar.
Preferred
- Experience adopting Gaussian splats, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques for AV,...
- Hands-on experience building, adapting, or deeply evaluating world models, video generation systems, neural rendering systems, Gaussian...
- Experience moving from earlier neural rendering approaches, such as NeRFs or Gaussian splatting, toward generative world models for...
- Published or peer-recognized work advancing the state of the art in world models, neural rendering, generative simulation, video...
- Experience building developer ecosystems or research communities around open-source projects.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.