Degree in Artificial intelligence- AI
Aartificial intelligence, CUDA/GPU programming, Deep Learning, Design, Effective communication skills, Machine learning techniques, NeurIPS, Python Programming, PyTorch, TensorFlow, TensorRT
We are seeking an energetic, hardworking machine learning engineer to develop key features for our autonomous driving platform. In this role, you will apply machine learning to a mix of planning, prediction and control problems. You will develop innovative ML solutions for NVIDIA’s next-generation automotive products. Join us and help craft the future of AI automation.
What you'll be doing:
What we need to see:
Ways to stand out from the crowd:
We definitely want to hear from you if you are an upbeat contributor with a background that includes one or more of the following:
Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles. Intelligent AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI 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 outstanding time. The era of AI has begun and NVIDIA is leading the drive with revolutionary hardware and software. Come join us at NVIDIA!
NVIDIA’s invention of the GPU sparked the PC gaming market. The company’s pioneering work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.