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

What You'll Be Doing

• 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.
• Develop 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, 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 (e.g., leading publications, production features, or widely used tools), and strong communication and collaboration skills in cross-functional teams.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.