Realtime World-Models Systems Engineer

NVIDIA; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Research Engineer to contribute across model development and runtime systems, building capabilities that turn research into practical AI-powered simulations. You will work on world-model ecosystems, collaborating with researchers to push the frontier of few-step distillation, autoregressive generation, and memory-driven consistency.

Join a team turning research into scalable, real-world AI applications.

Qualifications

• Experience in video/world models, diffusion and generative modeling, model distillation and adaptation, simulation, robotics, computer vision, or real-time, stateful ML systems.
• BS or MS in CS/CE/EE or related field or equivalent experience.
• 3+ years of relevant experience building, evaluating, integrating, optimizing, or serving machine-learning systems through industry, 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.

Responsibilities

• Build and optimize 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.
• 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. Partner with applied researchers and domain teams to meet quality, performance, and reliability goals.

Skills

Video models

Generative modeling

Model distillation

World models

Real-time ML systems

Python

PyTorch

Education

BS or MS in CS/CE/EE

Tools

Git

Linux

Job description

NVIDIA is seeking a Research Engineer to contribute across model development and runtime systems, building capabilities that turn research into practical AI-powered simulations. You will work on world-model ecosystems, collaborating with researchers to push the frontier of few-step distillation, autoregressive generation, and memory-driven consistency.

Join a team turning research into scalable, real-world AI applications.