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

Details

We are seeking a Research Scientist in Generative AI for Graphics and Gaming to join NVIDIA's Applied Deep Learning Research team. You will work on deep learning research that advances real-time graphics and interactive game experiences — from neural rendering and real-time image/video generation to world models, AI-driven characters, and LLM-powered gameplay. The role involves conducting cutting-edge research, training large models at scale, prototyping in real-time engines, and collaborating with product, driver, and hardware teams to bring research into shipping products. You will have access to abundant GPU compute for experimentation and large-scale training.

Responsibilities

• Research and develop AI models that improve real-time graphics quality, robustness, performance, and latency, and enable new interactive experiences (world models, LLM-driven gameplay, AI-driven characters).
• Design and run large-scale pre-training and post-training for foundation models for graphics and gaming using NVIDIA’s GPU infrastructure.
• Build and own data pipelines and datasets for foundation models and large-scale training, spanning 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 and create demos that showcase player-visible benefits.
• Stay current on AI and graphics research and collaborate with product, driver, hardware, engine, and platform teams to turn promising ideas into shipping features.

Requirements

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

Benefits & Additional Information

• Base salary range: 168,000 USD - 264,500 USD (final base salary determined by location, experience, and internal pay equity).
• Eligible for equity and benefits (see NVIDIA benefits pages).
• Applications accepted at least until January 31, 2026.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.