Software Engineering Internship: AI, Cloud & Tools Infra

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

Benefits offered by this job

Intern benefits

Job summary

NVIDIA in Santa Clara, CA is offering a 12-week Software Engineering internship across Development Tools, Cloud, Tools Infrastructure and Machine Learning Operations. Interns will work on real projects with measurable impact, be actively enrolled in a B.S., M.S., or Ph.D.

program, and receive a competitive hourly wage with internship benefits. Applicants should have coursework in databases, OS, distributed systems, CUDA, Go, Python, and Kubernetes; preferred skills include C/C++, JavaScript,

Qualifications

• Must be actively enrolled in a university pursuing a degree for the full duration of the internship.
• Anticipated graduation date must be clearly indicated on resume or CV.
• Programming skills: Java, JavaScript, SQL, C, C++, CUDA, OOP, Go, Python, Git, Perforce, Kubernetes and Microservices, Docker, Ansible.

Responsibilities

• Work on projects with measurable impact during the 12-week internship.
• Assist in debugging and developing tools and infrastructure.
• Contribute to cloud storage infrastructure and data tooling.
• Collaborate with software teams on production-grade workflows.

Skills

Java

JavaScript

SQL

C

C++

CUDA

Go

Python

Git

Perforce

Kubernetes

Microservices

LSF

SLURM

Docker

Ansible

Education

Bachelor's/Master's/Ph.D. in Electrical Engineering or Computer Engineering or related field

Tools

Unix/Shell Scripting

Linux

React

Vue

Docker

Kubernetes

Git

GitLab

Perforce

Go

Python

CUDA

OOP

Job description

NVIDIA in Santa Clara, CA is offering a 12-week Software Engineering internship across Development Tools, Cloud, Tools Infrastructure and Machine Learning Operations. Interns will work on real projects with measurable impact, be actively enrolled in a B.S., M.S., or Ph.D.

program, and receive a competitive hourly wage with internship benefits. Applicants should have coursework in databases, OS, distributed systems, CUDA, Go, Python, and Kubernetes; preferred skills include C/C++, JavaScript,