NVIDIA is searching for a world-class intern to join our growing 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.
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 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 or 4D content creation (photogrammetry, generative AI).
Work on improving realism and immersive qualities of VR environments and interactions, including creating content with AI techniques, intelligent characters, and behavior of crowds and traffic.
Participate in projects to conduct Deep Learning research and publish papers to well known conferences (ex. CVPR, NeurIPS)
Research dedicated to developing deep learning technology for Games, Virtual Reality, and other applications.
What 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 field
Past experience in cross collaborative environments.
Minimum 1 course on theories and practices of machine learning, including common machine learning frameworks
Requirements if pursuing a Master’s or PhD:
In-depth knowledge of the theory and practice of machine learning
Minimum 1 strong publication record (NeurIPS, ICML, AAAI, CVPR, ECCV, ICCV, etc).
Knowledge of common machine learning frameworks
Track record of research excellence
NVIDIA 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, autonomous and have a passion to impact the world? If so, apply today!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 CAD - 63 CAD.You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until October 13, 2025.Top Skills
What We Do
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, NVIDIA is increasingly known as “the AI computing company.”
