Tech Stack
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.
AI
CI/CD @ 4
Leadership @ 6
Machine Learning
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 Interactive World-Model Platforms
NVIDIA’s OmniDreams and FlashDreams are the foundation for a new generation of interactive world-model systems. This release sets the standard for fidelity and real-time inference performance, and includes an open weights model release with an associated open source inferencing engine.
Responsibilities
- 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.
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 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.
- Bachelor’s degree or equivalent experience.
- Results-focused leadership: build the process, hit the dates, and hold the 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 (e.g., 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.
Compensation and Eligibility
- Base salary range (determined based on location, experience, and pay of employees in similar positions):
- Level 4: 272,000 USD - 431,250 USD
- Level 5: 320,000 USD - 488,750 USD
- You will also be eligible for equity and benefits.
Application Details
Applications for this job will be accepted at least until June 30, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
More jobs at Nvidia
HPC Performance Engineer
Nvidia · United States
USD 152,000-241,500 per year
Senior System Software Engineer - Halos Core And Robotics Platform
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior System Software Engineer – Dynamo Tools
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Systems Software Engineer - Autonomous Vehicles
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Similar jobs
Security Controls Assurance Lead
Anthropic · Washington, United States, New York City, United States, San Francisco, United States
USD 270,000-345,000 per year
Engineering Manager, UI Platform
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 405,000-485,000 per year
Product Manager, Developer Productivity
Anthropic · San Francisco, United States, New York City, United States
USD 385,000-595,000 per year
Staff Software Engineer, Ai Developer Tooling
Sentry · San Francisco, United States
USD 240,000-400,000 per year
Senior Manager, Software Engineering - Robotics Manipulation
Nvidia · Santa Clara, United States
USD 272,000-488,800 per year
Principal Engineer, AI Tooling and Workflows
Nvidia · Santa Clara, United States
USD 272,000-431,200 per year
Senior Security Engineer, AI Security
Reddit · United States
USD 190,800-267,100 per year
Principal Data Scientist - Cloud Gaming And Ai
Nvidia · Santa Clara, United States
USD 248,000-379,500 per year