Research Scientist, Generative AI for Graphics and Gaming

Details

We are seeking a Research Scientist in Generative AI for Graphics and Gaming to join NVIDIA's Applied Deep Learning Research team. The role focuses on building the next generation of AI for graphics and gaming — from neural rendering and real-time image/video generation to world models, AI-driven characters, and LLM-powered game experiences. You will have access to large GPU compute to explore ambitious ideas and train large models at scale and will work across product, driver, hardware, engine, and platform teams to turn research into shipping features.

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, 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 deliver user-visible features.

Requirements

• MS or PhD in Computer Science/Engineering, Electrical Engineering, Applied Mathematics, or a related field (or equivalent experience).
• 3+ years of deep learning experience in image/video generation, graphics, computer vision, or related fields, with a solid understanding of core deep learning fundamentals.
• Extensive 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 and CUDA abstractions and efficiency techniques (e.g., distillation, pruning, low-precision training/inference) is a plus.
• Background in graphics (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), and strong communication and collaboration skills in cross-functional teams.

Compensation & Other Details

• Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
• The base salary range is 160,000 USD - 258,750 USD for Level 3, and 184,000 USD - 299,000 USD for Level 4.
• You will also be eligible for equity and benefits.
• Applications for this job will be accepted at least until December 12, 2025.

About NVIDIA

NVIDIA is known as the AI computing company, with a history of innovation in GPUs, modern computer graphics, and GPU deep learning. The company emphasizes diversity and is an equal opportunity employer.