Research Scientist, AI for Graphics and Gaming

What you'll do

• Research and develop AI models to improve real-time graphics quality, performance, and latency.
• Design and execute large-scale pre-training and post-training for graphics and gaming foundation models.
• Build and manage data pipelines for synthetic, in-engine, and real-world content.
• Prototype models for real-time image, video, and 3D content generation in modern game engines.
• Create demos that showcase player-visible benefits of new AI technologies.
• Collaborate with product, driver, and hardware teams to ship research into production features.

What we're looking for

• Pursue a PhD in Computer Science, Engineering, Applied Mathematics, or a related field, or have equivalent experience.
• Possess deep learning experience in image/video generation, graphics, computer vision, or related fields.
• Demonstrate a solid understanding of core deep learning fundamentals.
• Have hands-on experience training large models on multi-GPU clusters and building robust distributed training pipelines.
• Maintain strong proficiency in PyTorch.
• Possess familiarity with GPU architecture, CUDA abstractions, and efficiency techniques like distillation or pruning (preferred).
• Have a background in graphics, such as rendering pipelines or game engines (preferred).
• Have experience with generative models, neural rendering, or reconstruction (preferred).