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What you will be doing:
Design and implement generative AI algorithms that push the boundaries of real-time graphics and visual content creation
Develop text-to-image and text-to-video foundation models optimized for interactive graphics applications
Integrate breakthrough diffusion models and transformer architectures with traditional graphics pipelines to create innovative products
Pioneer AI-powered content generation techniques for real-time rendering and simulation
Collaborate with world-class researchers, engineers, and external research partners
Deliverable results include prototypes, patents, products, and/or publishing original research at top-tier conferences
What we need to see:
Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, Machine Learning, or related field for the entire duration of the internship
Strong programming skills in Python, C++, CUDA and deep learning frameworks (PyTorch, JAX, TensorFlow)
Strong research background with publications at top conferences (SIGGRAPH, NeurIPS, ICML, ICCV, CVPR, etc.)
Excellent communication and collaboration skills
Experience with large-scale model training and deployment is a plus
Research areas of focus:
We're looking for candidates with research experience in at least one of the following areas:
Diffusion Models for Image/Video Generation
Text-to-Image/Video Foundation Models
Multimodal Vision-Language Models
Neural Radiance Fields (NeRFs) and 3D Generation
Real-Time Generative AI and Optimization
Computer Vision for Graphics Applications
AI-Powered Content Creation and Synthesis
Transformer Architectures for Visual Data
Physics-Based Simulation with AI
Synthetic Data Generation for Graphics
Applications will be accepted until December 6, 2025.
Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.
These jobs might be a good fit

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What you'll be doing:
Develop and expand a team passionate about neural graphics. Able to manage a diverse team across different geographies and able to participate in meetings across global timezones
Recruit outstanding talent in neural rendering, machine learning, and differentiable programming
Develop a technology roadmap for neural graphics throughout NVIDIA's platform ecosystem, focus on integrating Slang as the preferred neural language
Lead system-level integration of neural graphics technologies across multiple platforms and architectures
Bridge research and product teams to translate neural graphics innovations into shipping products and platforms. Be able to work with multiple teams across the globe to achieve common goals.
Drive partnerships with research groups and industry to advance neural graphics capabilities and ecosystem adoption
Establishing rapidresearch-to-productionprocesses by using Slang as the foundational platform
What we need to see:
Degree in Computer Science, Computer Graphics, Machine Learning, or equivalent experience
Proven experience in Deep Learning, Generative AI, Diffusion Models.
8+ overall years work experience with 3+ years leading teams
Strong understanding of ML frameworks and AI technologies with experience applying them in production environments
Experience defining platform strategies across business units with demonstrated research-to-product transfers and measurable business impact
Excellent communication and leadership skills across research, product, and executive teams
Able to transform and lead teams through changes in technology focus and/or adoption of genAI/LLMs into day-to-day production
Ways to stand out from the crowd:
Expert knowledge in neural graphics and AI-powered rendering
Track record of shipping products with real-time rendering and graphics platforms
Experience developing developer platforms or SDKs
Track record taking research projects and ramping them to production
These jobs might be a good fit

What you will be doing:
Design and implement generative AI algorithms that push the boundaries of real-time graphics and visual content creation
Develop text-to-image and text-to-video foundation models optimized for interactive graphics applications
Integrate breakthrough diffusion models and transformer architectures with traditional graphics pipelines to create innovative products
Pioneer AI-powered content generation techniques for real-time rendering and simulation
Collaborate with world-class researchers, engineers, and external research partners
Deliverable results include prototypes, patents, products, and/or publishing original research at top-tier conferences
What we need to see:
Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, Machine Learning, or related field for the entire duration of the internship
Strong programming skills in Python, C++, CUDA and deep learning frameworks (PyTorch, JAX, TensorFlow)
Strong research background with publications at top conferences (SIGGRAPH, NeurIPS, ICML, ICCV, CVPR, etc.)
Excellent communication and collaboration skills
Experience with large-scale model training and deployment is a plus
Research areas of focus:
We're looking for candidates with research experience in at least one of the following areas:
Diffusion Models for Image/Video Generation
Text-to-Image/Video Foundation Models
Multimodal Vision-Language Models
Neural Radiance Fields (NeRFs) and 3D Generation
Real-Time Generative AI and Optimization
Computer Vision for Graphics Applications
AI-Powered Content Creation and Synthesis
Transformer Architectures for Visual Data
Physics-Based Simulation with AI
Synthetic Data Generation for Graphics
Applications will be accepted until December 6, 2025.
Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.
These jobs might be a good fit