Senior Research Scientist, Generative AI for Graphics

Details

We are now seeking a Senior Research Scientist, Generative AI for Graphics! NVIDIA is on the lookout for world-class researchers in deep learning, specializing in generative models such as GANs, Diffusion models, conditional image synthesis, and image reconstruction. Join our Applied Deep Learning Research team, renowned for revolutionizing real-time graphics with groundbreaking technologies like DLSS2 Super Resolution, DLSS3 Frame Generation, and DLSS 3.5 Ray Reconstruction.

Our team is dedicated to pushing the boundaries of what's possible in real-time graphics, using the latest advancements in GenAI. If you're passionate about generative models, real-time graphics, and delivering transformative technology to real users, you'll find a perfect match with our team. In this role, you'll be engaged in groundbreaking research, developing and training advanced deep-learning models to drive innovation in real-time graphics. Once you've demonstrated the promise of your research through prototype building, you'll collaborate with product teams to integrate your innovative ideas into industry-leading real-world applications.

Responsibilities

• Research on AI models that will improve the quality and/or performance of real-time rendering.
• Research on deep learning-based approaches for real-time image generation.
• Prototype your AI models in real-time game engines.
• Construct and curate datasets for large-scale machine learning.
• Stay current on the latest research for graphics and generative AI to look for disruptive technologies for production.
• Work closely with product and hardware architecture teams to integrate your research and developments into products.

Requirements

• PhD in Computer Science/Engineering, or a related field or equivalent experience (or an MS with equivalent relevant / meaningful experience).
• 3+ years of on-the-job or research experience in deep learning, image generation, or related fields.
• Excellent programming skills in rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) are a plus. Strong proficiency in PyTorch is required.
• Experience with traditional graphics pipelines, game engines, shading models, and path tracing is a plus.
• A track record of research excellence demonstrated in publications at leading conferences and journals.

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. Do you love the challenge of pushing what's possible in real-time interactive graphics and Generative AI? If so, we want to hear from you!