Senior Research Engineer - Interactive World Models

Nvidia Corporation in; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA is seeking a Senior Research Engineer to lead model development and runtime systems for interactive world models. You will collaborate with researchers to turn ideas into scalable, real-world software, from prototyping to deployment, including multi-user experiences and simulations.

You should have 5+ years in applied ML or research engineering, a strong record of delivering reliable results, and hands-on Python and PyTorch experience with GPU acceleration.

Qualifications

• MS or PhD in Computer Science, Electrical Engineering, or a related field.
• 5+ years of applied ML or research engineering experience.
• A track record of advancing applied ML or ML systems through research, open-source software, patents, or deployed technology.
• Hands-on experience with Python, PyTorch and GPU-accelerated training, inference, or serving.
• Research and engineering judgment with the ability to deliver reliable results within software and hardware constraints.

Responsibilities

• Build and lead end-to-end development of world-model capabilities and runtime systems, from prototype to production.
• Collaborate with researchers and domain teams to meet quality, performance, and reliability goals.
• Drive multi-user experiences and simulation workflows across platforms.

Skills

Python

PyTorch

GPU Training

ML systems

Research engineering

Education

MS/PhD in CS/EE

Job description

NVIDIA in Santa Clara, CA is seeking a Senior Research Engineer to lead model development and runtime systems for interactive world models. You will collaborate with researchers to turn ideas into scalable, real-world software, from prototyping to deployment, including multi-user experiences and simulations.

You should have 5+ years in applied ML or research engineering, a strong record of delivering reliable results, and hands-on Python and PyTorch experience with GPU acceleration.