Senior Manager, AlpaSim and AlpaDreams Production

Full Time

|

Santa Clara, CA

|

NVIDIA

Engineering Manager – Interactive World Models Platform

Compensation:

  • Level 4: $272,000 – $431,250 USD

  • Level 5: $320,000 – $488,750 USD

Additional Compensation: Equity and benefits

Application Deadline: Applications accepted at least until June 20, 2026

About the Role

NVIDIA's OmniDreams and FlashDreams are the foundation for a new generation of interactive world-model systems. With this release, NVIDIA has established a new standard for fidelity and real-time inference performance in world models while open-sourcing both the model weights and the associated inference engine.

Our mission is to continue raising that bar by making interactive world models practical wherever dynamic worlds matter—including autonomous vehicles, robotics, rendering, and simulation.

We are seeking an Engineering Manager to transform this technology leadership into an industry-standard platform and ecosystem. You will build and lead the team responsible for keeping FlashDreams fast, making OmniDreams useful in real production workflows, and helping customers and researchers succeed with the platform.

Success means more than shipping software—it means delivering high-quality solutions, trusted releases, exceptional performance, an engaged developer community, and research feedback that continuously compounds. You will work alongside world-class research teams and NVIDIA leadership to turn breakthrough research into technology developers rely on every day.

What You'll Be Doing

  • 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 across autonomous vehicles, rendering, robotics, and simulation

  • Build the architecture and engineering processes required to transform fast-paced research into reliable, developer-facing software

  • Own engineering excellence across:

    • Performance

    • Scalability

    • Reliability

    • Developer experience

    • CI/CD

    • Release management

  • Partner with research, simulation, rendering, and autonomous vehicle teams to translate world-model breakthroughs into production-ready platform capabilities

  • Grow the open developer and research ecosystem around NVIDIA's world-model technology stack

What We Need to See

  • Demonstrated research or applied innovation in one or more of the following areas:

    • World models

    • Video diffusion

    • Neural rendering

    • Gaussian Splatting

    • NeRFs

    • Neural reconstruction

    • Neural shading

    • Simulation

    • Robotics

    • Autonomous vehicles

  • Technical fluency in the machine learning foundations behind interactive world models, including:

    • Diffusion and flow-matching models

    • Autoregressive and causal video generation

    • Self-forcing or causal-forcing training methods

    • Gaussian Splatting

    • NeRFs

    • Neural reconstruction

  • Demonstrated experience transforming research-stage systems into dependable, scalable production products

  • 12+ years of overall industry experience

  • 5+ years of engineering leadership experience

  • Bachelor's degree or equivalent practical experience

  • Results-focused leadership with a proven ability to build effective engineering processes, deliver on schedule, and maintain a high quality bar

Ways to Stand Out

  • Experience applying Gaussian Splatting, NeRFs, neural reconstruction, neural shading, or other advanced rendering techniques to:

    • Autonomous vehicles

    • Robotics

    • Simulation

    • Synthetic data generation

    • Production rendering workflows

  • Hands-on experience building, adapting, or deeply evaluating:

    • World models

    • Video generation systems

    • Neural rendering systems

    • Gaussian Splatting or NeRF pipelines

    • Neural shading techniques

  • Experience transitioning 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

    • Production machine learning infrastructure

  • Experience building developer ecosystems or research communities around open-source projects

Why NVIDIA?

NVIDIA is widely recognized as one of the technology industry's most desirable employers, offering competitive compensation, generous benefits, and the opportunity to work alongside some of the world's most talented engineers and researchers.

As NVIDIA continues its unprecedented growth, you'll help shape the future of interactive world models while working on cutting-edge technologies that redefine robotics, simulation, rendering, and autonomous systems.

If you're a creative, autonomous engineering leader with a passion for turning breakthrough research into production platforms used by developers worldwide, we'd love to hear from you.

Compensation

Your base salary will be determined based on your location, experience, and the compensation of employees in similar positions.

  • Level 4: $272,000 – $431,250 USD

  • Level 5: $320,000 – $488,750 USD

In addition to base salary, you will be eligible for equity and comprehensive benefits.

Additional Information

  • Applications will be accepted at least until June 20, 2026

  • This posting is for an existing vacancy

  • NVIDIA uses AI tools throughout its recruiting process

Equal Employment Opportunity

NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer.

We highly value diversity among our current and future employees and do not discriminate in hiring or employment 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.

Job ID: JR2019751

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