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.
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.Skills Required
- 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: 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 complex prototypes into reliable products, owning complex modules or cross-team projects, and clear communication with partners.
- 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 platforms, publications, patents, or other demonstrated technical leadership.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
