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DTSTAMP:20260417T190002Z
LOCATION:West Building\, Exhibit Hall C
DTSTART;TZID=America/Los_Angeles:20250810T080000
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UID:siggraph_SIGGRAPH 2025_sess618_job_111@linklings.com
SUMMARY:Research Scientist, Spatial Intelligence - New College Grad 2025
DESCRIPTION:NVIDIA is searching for a world-class Research Scientist to jo
 in our growing Spatial Intelligence research team. The ideal candidate wil
 l be conducting cutting-edge research at the intersection of Machine Learn
 ing, Computer Vision and Computer Graphics, and working alongside top expe
 rts in these fields. With incredible resources in AI, graphics and robotic
 s, you will be able to impact, contribute and advance these exciting domai
 ns. Topics include but are not limited to AI for simulation, 3D Deep Learn
 ing, DL for animation, content generation, transfer learning, domain adapt
 ation, computer vision, and medical imaging. With its unique open culture,
  NVIDIA is one of the best industry labs to do AI research.\n\nWhat you wi
 ll be doing:\n\nDevelop and optimize diffusion-based generative models for
  high-fidelity, controllable image/video synthesis.\n\nDesign scalable arc
 hitectures that reduce inference latency and enable real-time or interacti
 ve generation workflows.\n\nContribute to fundamental research and publish
  in top-tier conferences such as CVPR, NeurIPS, ICLR, ICCV, or SIGGRAPH.\n
 \nCollaborate across teams to integrate research into simulation systems, 
 digital avatars, robotics, and other NVIDIA platforms.\n\nWhat we need to 
 see:\n\nPhD or equivalent experience in Computer Science, Computer Vision,
  Machine Learning, or a related field.\n\nStrong foundation in generative 
 models.\n\nExperience with Python and PyTorch, and large-scale model train
 ing workflows.\n\nAbility to conduct independent research and communicate 
 findings clearly.\n\nPassion for innovation in vision AI and a drive to se
 e ideas move from research to impact.\n\nWays to stand out from the crowd:
 \n\nSkills in efficient model architectures and efficient implementations.
 \n\nSharp mathematics skills.\n\nImage recognition and speech recognition 
 — GPU deep learning has provided the foundation for machines to learn, per
 ceive, reason and solve problems. The GPU started out as the engine for si
 mulating human imagination, conjuring up the amazing virtual worlds of vid
 eo games and Hollywood films. Now, NVIDIA’s GPU runs deep learning algorit
 hms, simulating human intelligence, and acts as the brain of computers, ro
 bots and self-driving cars that can perceive and understand the world. Jus
 t as human imagination and intelligence are linked, computer graphics and 
 artificial intelligence come together in our architecture. Two modes of th
 e 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 A
 I computing company.”\n\nNVIDIA is widely considered to be one of the tech
 nology world’s most desirable employers. We have some of the most forward-
 thinking and hardworking people in the world working for us. Are you creat
 ive, autonomous and have a passion to impact the world? If so, apply today
 !\n\n
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