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

NVIDIA· Research Staff Member
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Santa Clara, CA$168k - $264.5kfull-timePosted 7mo ago

About the role

Research Scientist role focused on Generative AI for real-time graphics and gaming, including neural rendering, world models, AI-driven characters, and LLM-powered gameplay. Collaboration across product, driver, hardware, engine, and platform teams to ship features and demonstrations in modern game engines and graphics frameworks.

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.

Qualifications

  • Pursuing PhD in Computer Science/Engineering, Electrical Engineering, Applied Mathematics, or 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; 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.

Skills

Required:PyTorchDistributed trainingLarge-scale model training
Nice to have:Graphics or rendering pipelines

Benefits

  • equity
  • benefits (see NVIDIA benefits page)
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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