3D Reconstruction Research Engineering Intern - Summer 2024

We're Hiring a 3D Reconstruction Research Engineering Intern!NVIDIA is searching for a world-class intern to join our 3D Reconstruction team, building tools and technologies to help our research teams working at the cutting edge of applying Neural Graphics techniques to create 3D worlds from real world sensor data. Our team works closely with both researchers and Omniverse developers team to enable new 3D Deep Learning methods as well as to bring that work into real world products with applications to simulation, autonomous driving, and robotics.The ideal candidate will be involved in research at the intersection of Machine Learning, Computer Graphics and Computer Vision, with a passion for turning that work into tangible products. With your experience and skills, your work with NVIDIA’s world leading experts will enable contributions to major advancements in 3D reconstruction and it’s applications in industry. With its unique open culture, NVIDIA is one of the best industry labs for AI and graphics research.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 that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain - two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is increasingly known as “the AI computing company.”What you’ll be doing:Invent or apply deep learning techniques to the field of 3D and 4D content creation (photogrammetry, NeRF-based techniques, etc.)Optimize and improve research techniques to enable production-quality resultsIntegrate deep learning based reconstruction rendering techniques with traditional 3D rendering approachesParticipate in projects to conduct Deep Learning research and publish papers to well-known conferences (ex.SIGGRAPH, CVPR, NeurIPS)Apply 3D reconstruction research efforts to products advancing simulation for autonomous driving, robotics, and other domainsWhat we need to see:Currently pursuing a B.S., Master’s or Ph.D. in Electrical Engineering, Computer Science/Engineering, Math/Physics/Statistics or a related fieldStrong technical abilities in traditional computer graphics or 3D reconstruction techniques such as NeRF, Gaussian Splatting, etc – with at least one working project demonstrating these abilitiesRequirements if pursuing a Bachelor’s:Minimum 1 course on theories and practices of machine learning, including common machine learning frameworksMinimum 1 course on traditional computer graphics or compilersRequirements if pursuing a Master’s or PhD:In-depth knowledge of the theory and practice of machine learning and traditional computer graphicsStrong publication record with at least 1 accepted paper for a related well-known conference (SIGGRAPH, NeurIPS, ICML, AAAI, CVPR, ECCV, ICCV, etc.)Knowledge of common machine learning frameworksNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? If so, we want to hear from you!