Research Scientist, AI for Graphics and Gaming – New College Grad 2026

at Nvidia

USD 168,000-264,500 per year

JUNIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 CUDA @ 2 Communication @ 6 Computer Vision @ 6 Data Pipelines Debugging @ 3 Deep Learning @ 6 GPU @ 3 GenAI Generative AI @ 3 LLM @ 3 Mathematics @ 3 PyTorch @ 6

Details

NVIDIA is seeking a Research Scientist in Generative AI for Graphics and Gaming to build the next generation of AI for graphics and gaming, including neural rendering, real-time image and video generation, world models, AI-driven characters, and LLM-powered game experiences. The role is part of the Applied Deep Learning Research team and involves conducting cutting-edge research, training advanced models, prototyping in real-time engines, and collaborating with product, driver, hardware, engine, and platform teams to bring ideas into shipping products.

Responsibilities

Research and develop AI models that improve real-time graphics quality, robustness, performance, and latency, and enable interactive experiences such as world models, LLM-driven gameplay, and AI-driven characters.
Design and run large-scale pre-training and post-training for foundation models for graphics and gaming using NVIDIA GPU infrastructure.
Build and own data pipelines and datasets for foundation models and large-scale training, including synthetic data, in-engine captures, and real-world content.
Develop and prototype models for real-time image, video, and 3D content generation in modern game engines and graphics frameworks.
Create demos that clearly showcase player-visible benefits.
Stay current on AI and graphics research and work with product, driver, hardware, engine, and platform teams to turn promising ideas into shipping, user-visible features.

Requirements

Pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related field, or equivalent experience.
Deep learning experience in image or video generation, graphics, computer vision, or related fields, with a solid understanding of deep learning fundamentals.
Hands-on experience training large models on multi-GPU clusters involving hundreds to thousands of GPUs.
Experience building robust distributed training pipelines and debugging at scale.
Strong proficiency in PyTorch.
Familiarity with GPU architecture, CUDA abstractions, and efficiency techniques such as distillation, pruning, and low-precision training or inference is a plus.
Background in graphics, such as rendering pipelines or game engines, is a plus.
Experience with generative models, neural rendering, or reconstruction is a plus.
Proven track record of impactful research and shipped ideas, such as leading publications, production features, or widely used tools.
Strong communication and collaboration skills in cross-functional teams.

Compensation and Benefits

The base salary range is USD 168,000–264,500 per year, determined based on location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until January 31, 2026. This posting is for an existing vacancy.