Senior System Software Engineer, Interactive World Models

About the role

This role sits at the intersection of research and systems engineering, where new ideas are turned into reliable, high-performance systems for developers and customers. It involves designing, building, and improving production-quality systems for world models, simulation, rendering, and real-time inference from prototype through release.

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.

Qualifications

• 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.

Benefits

Competitive salaries and a generous benefits package are offered. NVIDIA is widely considered to be one of the technology world's most desirable employers. Our exclusive engineering teams are rapidly growing due to unprecedented growth, and we have some of the most forward-thinking and hardworking people in the world working for us. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Pay

The base salary range is $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5. You will also be eligible for equity and benefits.

Schedule

Applications for this job will be accepted at least until July 25, 2026.

Equal Opportunity Employer

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.