Senior System Software Engineer, Interactive World Models

at Nvidia

📍 Santa Clara, United States

USD 184,000-356,500 per year

SENIOR

✅ On-site

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.

CUDA @ 4 Communication @ 6 Computer Vision @ 4 GPU @ 4 Machine Learning PyTorch @ 4 Robotics @ 4

Details

At NVIDIA, FlashDreams is our foundational platform for the next generation of interactive world models. We work with the top interactive world model model makers, and the early world model adopters such as autonomous vehicles, robotics, medical training, and gaming to get these technologies into production. This role brings sits at the intersection of research and systems engineering, where we turn new ideas into reliable, high-performance systems for developers and customers. Interested in helping move interactive world models from research to real-world use? We’d love to hear from you!

Responsibilities

Design, build, and improve production-quality systems for world models, simulation, rendering, and real-time inference from prototype through release.
Connect generated worlds, reconstructed scenes, controllable simulation states, and evaluation loops into cohesive end-to-end systems, while improving performance, quality, scalability, and reliability on NVIDIA GPUs.
Collaborate with research, simulation, rendering, robotics, and autonomous-vehicle teams to make technical tradeoffs, integrate capabilities into downstream workflows, and own complex modules or cross-team projects that shape technical direction and roadmaps.

Requirements

BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or a related field, or equivalent experience.
8+ years of relevant software engineering experience.
Experience in one or more relevant areas: world models, generative video, diffusion or flow-matching models, neural rendering, simulation, robotics, autonomous vehicles, computer vision, or large-scale ML systems.
Experience building and optimizing GPU-accelerated software with CUDA and modern ML frameworks such as PyTorch.
Demonstrated engineering judgment and a record of turning technically complex prototypes into reliable products through thoughtful tradeoffs, testing, and delivery, along with ownership of complex modules or cross-team projects and clear communication with partners.