Deep Learning Intern: GPU AI & Frameworks

Nvidia Corporation in; Santa Clara (CA); On-site; USD 28,000 - 98,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA 2027 Deep Learning internships in Santa Clara, CA offer a 12-week, full-time program where interns contribute to our Deep Learning teams and have measurable impact on the business. Applicants must be enrolled in a B.S., M.S., or Ph.D.

program in Electrical Engineering, Computer Engineering, or a related field, and include an anticipated graduation date on the resume. Interns receive hourly compensation (20–71 USD) and benefits, with opportunities to work on frameworks like PyTorch,

Qualifications

• Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or a related field; anticipated graduation date must be clearly indicated on resume.
• Programming skills and technologies may include C, C++, CUDA, Python, x86, ARM CPU, GPU, Linux, Direct3D, Vulkan, OpenGL, OpenCL, Spark, Perl, Bash/Shell Scripting, Docker/Kubernetes, AWS/Azure/GCP, Kafka, ELK, Cassandra, Apache Spark, React, Go.

Skills

C

C++

CUDA

Python

x86

ARM CPU

GPU

Linux

Direct3D

Vulkan

OpenGL

OpenCL

Spark

Perl

Bash/Shell Scripting

Docker

Kubernetes

AWS

Azure

GCP

Kafka

ELK

Cassandra

Apache Spark

React

Go

Education

Pursuing B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or related field

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

NVIDIA 2027 Deep Learning internships in Santa Clara, CA offer a 12-week, full-time program where interns contribute to our Deep Learning teams and have measurable impact on the business. Applicants must be enrolled in a B.S., M.S., or Ph.D.

program in Electrical Engineering, Computer Engineering, or a related field, and include an anticipated graduation date on the resume. Interns receive hourly compensation (20–71 USD) and benefits, with opportunities to work on frameworks like PyTorch,