We are now looking for a Research Scientist (Deep Learning):
NVIDIA is searching for a world-class researcher in deep learning to join our applied research team. We are passionate about deep learning applied to computer vision, audio, text and other domains, with the goal of improving specific problems encountered in NVIDIA’s products. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products. If you agree with us that the most interesting thing about the deep learning revolution is applying it to solve real-life problems, this team will be a great fit for you.
What you'll be doing:
What we need to see:
Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by Artificial Intelligence can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun.
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. Nvidia is increasingly known as “the AI computing company.”
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of researching new application areas for applying deep learning and artificial intelligence? If so, we want to hear from you. Come, join our Deep Learning Research team and help us invent the future of our company.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.