Description

NVIDIA offers a 12-week full-time internship in Deep Learning, allowing students to work on projects with a measurable impact on the business.

The internship involves working on projects such as:

Deep Learning Applications and Algorithms: developing algorithms for deep learning, data analytics, or scientific computing to improve performance of GPU implementations
Deep Learning Frameworks and Libraries: building underlying frameworks and libraries to accelerate Deep Learning on GPUs, contributing to software packages like JAX, PyTorch, and TensorFlow

Requirements:

Actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field
Anticipated graduation date must be clearly indicated on a resume or CV
Prior experience or knowledge requirements may include programming skills and technologies such as C, C++, CUDA, Python, x86, ARM CPU, GPU, Linux, Direct3D, Vulkan, OpenGL, OpenCL, Spark, Perl, Bash/Shell Scripting, Container Tools, Infrastructure Platforms, Data Technologies, React, Go

Benefits: