Software Engineering Intern: AI, Cloud & ML Ops

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 invites motivated students to a 12-week, full-time Software Engineering internship focused on Finance-related software domains. You will contribute to development tools, cloud storage, tools infrastructure, and ML operations, with opportunities to apply CUDA, GPU computing, and related technologies.

We seek candidates pursuing B.S., M.S., or Ph.D. in Electrical/Computer Engineering or related fields, with strong programming experience in Java, C/C++, Python, and Linux environments.

Qualifications

• Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree for the full duration of the internship.
• Anticipated graduation date must be clearly indicated on resume/CV.

Responsibilities

• Work on high-impact intern projects across Development Tools, Cloud, Tools Infrastructure and ML Operations.
• Collaborate with software engineering teams to design, develop, test, and debug infrastructure and tools.
• Demonstrate initiative and creativity in solving complex problems in AI/accelerated computing domains.

Skills

Java

JavaScript

C

C++

Python

Go

SQL

Git

Docker

Kubernetes

Linux

LSF/SLURM

React

Vue

Node

CUDA

Perforce

NVIDIA CUDA

Education

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

Tools

Git

Perforce

Docker

Kubernetes

SLURM/LSF

Job description

NVIDIA invites motivated students to a 12-week, full-time Software Engineering internship focused on Finance-related software domains. You will contribute to development tools, cloud storage, tools infrastructure, and ML operations, with opportunities to apply CUDA, GPU computing, and related technologies.

We seek candidates pursuing B.S., M.S., or Ph.D. in Electrical/Computer Engineering or related fields, with strong programming experience in Java, C/C++, Python, and Linux environments.