NVIDIA
Research Scientist, AI for Graphics and Gaming - New College Grad 2026
$168K–$264K
US, CA, Santa Clara · Full-time · Posted Jan 27, 2026
- Education
- Pursuing PhD in Computer Science/Engineering, Electrical Engineering, Applied Mathematics, or a related field (or equivalent experience).
About the job
Conducts generative AI research for graphics and gaming, develops and prototypes models, and works with teams to bring user-visible features into products.
What you'll do
- Research and develop AI models for real-time graphics and interactive gaming experiences.
- Train foundation models and build datasets and data pipelines for large-scale training.
- Prototype real-time image, video, and 3D generation in game engines, and collaborate on shipping features.
What they ask for
- Pursuing a 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.
- Experience training large models on multi-GPU clusters and building and debugging distributed training pipelines; strong proficiency in PyTorch required.
- Track record of impactful research and shipped ideas, with strong communication and cross-functional collaboration skills.
Nice to have
- Familiarity with GPU architecture, CUDA abstractions, and efficiency techniques such as distillation, pruning, and low-precision training/inference.
- Background in graphics and experience with generative models, neural rendering, or reconstruction.
Pay
168,000 USD - 264,500 USD (base salary)
Tools
PyTorch, CUDA, GPU
AI focus
Generative AI research for graphics and gaming, including foundation models, real-time content generation, world models, LLM-driven gameplay, and AI-driven characters.
Model-written summary · the original posting is authoritative