This role pays more than
62%
of similar roles. Most pay
$159,682–$246,150
— the shaded band above.
At the midpoint, this role pays about
$216k
versus about
$203k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
855 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 843 roles with salary data.
Join NVIDIA’s Applied Deep Learning Research team as a Research Scientist in Generative AI for Graphics and Gaming, where you’ll contribute to groundbreaking advancements in real-time graphics and interactive storytelling. Your role involves researching and developing AI models that enhance the quality, robustness, performance, and latency of real-time graphics while enabling innovative experiences like world models and LLM-driven gameplay. You will design large-scale pre-training pipelines for foundation models using NVIDIA’s GPU infrastructure, build data pipelines for synthetic and in-engine captures, and prototype advanced models for image, video, and 3D content generation in modern game engines. Ideal candidates have a PhD or equivalent experience in Computer Science/Engineering, Electrical Engineering, Applied Mathematics, with deep learning expertise in graphics and computer vision, proficiency in PyTorch, and hands-on experience training large models on multi-GPU clusters. A background in graphics, generative models, neural rendering, and strong communication skills are also essential for this role that pushes the boundaries of real-time interactive graphics and Generative AI.
Python
C++
CUDA
PyTorch
3D graphics development
AI algorithms
Computer vision algorithms
Deep learning frameworks
NVIDIA Isaac
Omniverse
Metropolis
NuRec
XR
AI4Media
Python
PyTorch
C++
SystemVerilog
CUDA
VLSI
EDA
ASIC
Digital VLSI Circuits
Machine Learning
Generative AI
Computer Arithmetic
AI Hardware Micro-Architecture
IC Design Methodology