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

Responsibilities

• Research and develop AI models that improve real-time graphics quality, robustness, performance, and latency, and enable new 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’s GPU infrastructure for experimentation and iteration.
• 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 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.
• What we need to see
• Pursuing 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 a 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, with strong proficiency in PyTorch required; familiarity with GPU architecture, CUDA abstractions, and efficiency techniques (e.g., distillation,…
• Background in graphics—such as rendering pipelines or game engines—and experience with generative models, neural rendering, or reconstruction is a plus.

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