Research Scientist

vor 6 Monaten


Berlin, Deutschland NVIDIA Vollzeit

What you will be doing:- Work on improving realism and immersive qualities of VR environments and interactions, including intelligent characters, behavior of crowds and traffic, and human-machine interface problems.- Participate in numerous projects to conduct Deep Learning research and publish papers to well known conferences (ex. ICCV)What we need to see:
- Completing or recent completion of a PhD or equivalent experience in Computer Science or a related field.- Expertise in computer graphics, simulation or game development.- In depth experience with C++/C, CUDA, DX, or OpenGL.- Dedication to producing high quality and creative results in a collaborative environment- Excellent work ethic and problem-solving skills

Ways to stand out from the crowd:
- You are a great communicator who is self-motivated towards the team goal- You take pride in helping others and welcome mentoring others around you- 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 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.”



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