Deep Learning Architect Intern-PAID

Description

The Deep Learning Architect Intern is available to students pursuing MS or PhD in relevant discipline (computer science, electrical engineering, or math). You must have track record of optimizing code for performance on CPUs or GPUs, including assembly or SIMD programming, strong mathematical foundation in machine learning and deep learning, and experience working with deep learning frameworks like Caffe, TensorFlow and Torch to be considered for this position. As an intern, you will be inventing ingenious HW, DSP, GPU and system architectures to extend the state of the art in Deep Learning efficiency and performance. This internship is located in Santa Clara, CA. Average monthly compensation for a Nvidia Intern is $8,000.