The role
From Nvidia's own posting.
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!
What you'll be doing:
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.
What we need to see:
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.
Ways to stand out from the crowd:
Hands-on experience building, adapting, evaluating, or deploying world models, video-generation systems, neural simulation, generative 3D, neural rendering, Gaussian splatting, NeRFs, or reconstruction.
Experience with real-time or low-latency inference, distributed training or inference, performance profiling, GPU optimization, simulation, synthetic-data generation, robotics, autonomous vehicles, rendering, or digital-twin applications.
Contributions to open-source ML, graphics, simulation, or developer platforms; publications, patents, or other demonstrated technical leadership in a relevant area.
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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until July 25, 2026.
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.