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

About the job

Responsibilities

• Research and develop AI models to enhance real-time graphics quality, robustness, performance, and latency, enabling new interactive experiences like world models, LLM-driven gameplay, and AI-driven characters.
• Design and execute large-scale pre-training and post-training for foundation models in graphics and gaming, leveraging NVIDIA's GPU infrastructure.
• Build and manage 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 within modern game engines and graphics frameworks.
• Create demonstrations that clearly illustrate player-visible benefits of developed models.
• Stay updated on AI and graphics research advancements and collaborate with cross-functional teams to integrate promising ideas into shipping features.

Requirements

• Currently pursuing a PhD in Computer Science/Engineering, Electrical Engineering, Applied Mathematics, or a related field (or equivalent experience).
• Demonstrated deep learning experience in image/video generation, graphics, computer vision, or related fields, with a strong grasp of core DL fundamentals.
• Hands-on experience training large models on multi-GPU clusters, building distributed training pipelines, and debugging at scale.
• Strong proficiency in PyTorch.
• Familiarity with GPU architecture, CUDA abstractions, and efficiency techniques (e.g., distillation, pruning, low-precision training/inference) is a plus.
• Background in graphics (e.g., rendering pipelines, game engines) and experience with generative models, neural rendering, or reconstruction is a plus.
• Proven track record of impactful research (e.g., publications, production features, widely used tools).
• Strong communication and collaboration skills for cross-functional teams.

Benefits

• Equity
• Benefits