$184,000 – $356,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA is hiring a systems engineer to productionize interactive world models—technology that generates realistic simulated environments for autonomous vehicles, robotics, and gaming. You'll bridge research and production, optimizing GPU-accelerated systems for real-time inference and working across teams to turn prototypes into reliable, high-performance platforms.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, Physics, or related field, or equivalent experience
- 8+ years of software engineering experience
- Experience with GPU-accelerated software using CUDA and modern ML frameworks
- Experience in world models, generative video, diffusion/flow-matching models, neural rendering, simulation, robotics, autonomous vehicles, computer vision, or large-scale ML systems
- Demonstrated ability to turn complex prototypes into reliable products through thoughtful tradeoffs and testing
- Ownership of complex modules or cross-team projects
Nice to have
- Hands-on experience building, adapting, evaluating, or deploying world models, video-generation systems, neural simulation, generative 3D, Gaussian splatting, NeRFs, or reconstruction
- Experience with real-time or low-latency inference, distributed training or inference, performance profiling, GPU optimization, synthetic-data generation, robotics, autonomous vehicles, rendering, or digital-twin applications
- Open-source contributions to ML, graphics, simulation, or developer platforms; publications, patents, or demonstrated technical leadership in a relevant area