Research Scientist, Spatial Intelligence - New College Grad 2025 @ NVIDIA

NVIDIA is searching for a world-class Research Scientist to join our growing Spatial Intelligence research team. The ideal candidate will be conducting cutting-edge research at the intersection of Machine Learning, Computer Vision and Computer Graphics, and working alongside top experts in these fields. With incredible resources in AI, graphics and robotics, you will be able to impact, contribute and advance these exciting domains. Topics include but are not limited to AI for simulation, 3D Deep Learning, DL for animation, content generation, transfer learning, domain adaptation, computer vision, and medical imaging. With its unique open culture, NVIDIA is one of the best industry labs to do AI research.What you will be doing:Develop and optimize diffusion-based generative models for high-fidelity, controllable image/video synthesis.Design scalable architectures that reduce inference latency and enable real-time or interactive generation workflows.Contribute to fundamental research and publish in top-tier conferences such as CVPR, NeurIPS, ICLR, ICCV, or SIGGRAPH.Collaborate across teams to integrate research into simulation systems, digital avatars, robotics, and other NVIDIA platforms.What we need to see:PhD or equivalent experience in Computer Science, Computer Vision, Machine Learning, or a related field.Strong foundation in generative models.Experience with Python and PyTorch, and large-scale model training workflows.Ability to conduct independent research and communicate findings clearly.Passion for innovation in vision AI and a drive to see ideas move from research to impact.Ways to stand out from the crowd:Skills in efficient model architectures and efficient implementations.Sharp mathematics skills.Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars…

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