Senior Engineer, Real-Time World Modeling & Simulation

NVIDIA; United States; On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA is seeking a Senior Research Engineer to lead engineering across model development and runtime systems, turning research into production-ready capabilities. You will work on world-model ecosystems, collaborating with researchers to ship AI capabilities with real-world impact.

The role requires strong background in ML systems, Python, PyTorch, and GPU-accelerated training, with 5+ years of applied ML or research engineering. Base salary reflects Level 4/5 criteria and equity opportunities.

Qualifications

• MS or PhD in Computer Science, Electrical Engineering, or a related field.
• 5+ years of equivalent experience in applied ML or research engineering.
• Hands-on experience with Python, PyTorch and GPU-accelerated training, inference, performance optimization, or serving.
• Record of advancing applied ML or ML systems through research, open-source software, patents, or deployed technology.

Responsibilities

• Build and optimize the continuous autoregressive serving loop, including per-step control inputs and KV-cache state management.
• Advance world model frontier with few-step distillation, causal or autoregressive generation, and long-horizon memory.
• Lead end-to-end delivery of capabilities such as multi-user experiences and simulation workflows from prototype to release.

Skills

Python

PyTorch

GPU-accelerated training

Research engineering

Education

MS or PhD in CS/EE

Tools

CUDA

Git

Job description

NVIDIA is seeking a Senior Research Engineer to lead engineering across model development and runtime systems, turning research into production-ready capabilities. You will work on world-model ecosystems, collaborating with researchers to ship AI capabilities with real-world impact.

The role requires strong background in ML systems, Python, PyTorch, and GPU-accelerated training, with 5+ years of applied ML or research engineering. Base salary reflects Level 4/5 criteria and equity opportunities.