Research Engineer, Interactive World Models - New College Grad 2026

• Contribute to building and optimizing the continuous autoregressive serving loop, including per-step control inputs, model and KV-cache state management, GPU inference, frame streaming, and model integrations to speed-of-light.

• Help advance the production-ready world model frontier by working with researchers on few-step distillation, causal or autoregressive generation, reward fine-tuning, action conditioning, and long-horizon spatiotemporal memory and consistency.

• Deliver capabilities such as multi-user experiences and simulation workflows from prototype through evaluation, integration, and release.

• Strengthen the open-source platform through testing, CI/CD, observability, documentation, and developer workflows, and partner with researchers and users to improve reliability and adoption.

• Experience or coursework in one or more areas such as video or world models, diffusion and generative modeling, model distillation and adaptation, simulation, robotics, computer vision, or real-time, stateful ML systems.

• Pursuing or recently completed a BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field or equivalent experience.

• Hands-on experience building, evaluating, integrating, optimizing, or serving machine-learning systems through internships, academic research, open-source work, or substantial projects.

• Strong Python and PyTorch skills, supported by software-engineering fundamentals in design, testing, debugging, version control, performance analysis, and Linux development.

• Ability to turn an open-ended technical problem into a working implementation, measure its quality and performance, and communicate the results clearly.

• Experience with post-training generative video models, including distillation, self-forcing, action conditioning, or long-horizon memory.

• Experience profiling or optimizing ML workloads using CUDA, Triton, TensorRT, torch.compile, or similar tools, including work on latency, throughput, quantization, streaming, state or cache management, or multi-GPU execution.

• Contributions to an open-source ML project or developer platform, such as implementing model support, improving performance, building tests and benchmarks, fixing difficult issues, writing documentation, or helping users adopt the technology.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2. You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until August 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.