NVIDIA 2027 Internships: Software Engineering

StudentLife OS; Santa Clara, Northern (CA, KY); Híbrido; USD 28.000 - 98.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Intern benefits

On-site internship in Santa Clara

Descripción de la vacante

NVIDIA invites university students to join a 12-week software engineering internship in Santa Clara, CA. Interns will work full time on projects that impact business, under guidance of experienced engineers on teams like Development Tools, Cloud, Tools Infrastructure, or Machine Learning Operations.

The program supports actively enrolled students pursuing a degree (B.S., M.S., or Ph.D.) with eligible benefits and a structured internship experience.

Formación

• Actively enrolled in a university pursuing a B.S., M.S. or Ph.D. in Electrical Engineering, Computer Engineering or a related field for the full internship.
• Anticipated graduation month and year stated on the resume.

Responsabilidades

• Work full time for 12 weeks on projects with measurable impact, alongside engineers.
• Be placed onto a team from NVIDIA's software engineering internship pool.
• Contribute to projects on Development Tools, Cloud, Tools Infrastructure or Machine Learning Operations.

Conocimientos

C++

Python

Linux/Unix

Java

JavaScript

Go

SQL

Git

Docker

Kubernetes

Deep Learning

Educación

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

Herramientas

CUDA

Descripción del empleo

# NVIDIA 2027 Internships: Software EngineeringSanta Clara, CA129 days left, closes Sat, January 30, 202712 weeksUniversity students (4-year)### The roleCompensation$20 per hourHours40Duration12 weeksTermSummerLocationSanta Clara, CATeamSoftware EngineeringApply bySat, January 30, 2027### About this internshipNVIDIA runs a single 2027 application for its software engineering internships, and places each intern onto a team from that one pool. Interns work full time for 12 weeks on projects that have a measurable impact on the business, alongside the engineers who build CUDA, the GPU drivers, the cloud platforms and the tooling behind them.The teams hiring from this posting include:* Development Tools: debugging complex system-level issues; work touches relational databases, linear algebra, operating systems and hardware virtualisation* Cloud: the architecture and automation of NVIDIA's cloud storage and data platform, using distributed systems, containers and cluster management* Tools Infrastructure: production software and chip-design workflows, with Unix shell, Linux, Java, JavaScript, C++, CUDA, Go, Python, Git, Kubernetes and Docker* Machine Learning Operations: deep learning and GPU computing, including cuDNN, NCCL and TensorRTPay: the intern hourly rate is $20 to $71 USD, set by position, location, year in school, degree and experience. Interns are also eligible for NVIDIA intern benefits.Who it is for: you must be actively enrolled at a university pursuing a B.S., M.S. or Ph.D. in Electrical Engineering, Computer Engineering or a related field for the full duration of the internship, and your anticipated graduation month and year must be on your resume to be considered.Applications are accepted on an ongoing basis. Resumes are reviewed as they arrive and a recruiter reaches out when your experience fits one of the open internships. The primary location is Santa Clara.### Requirements* Actively enrolled in a university pursuing a B.S., M.S. or Ph.D. in Electrical Engineering, Computer Engineering or a related field for the full internship* Anticipated graduation month and year stated on the resume### Preferred qualifications* Coursework or internship experience in operating systems, distributed systems, data structures and algorithms, or deep learning frameworks### SkillsRequiredC++PythonLinux/UnixNice to haveJavaJavaScriptGoSQLGitDockerKubernetesDeep Learning### Who this is forStudent typeUniversity students (4-year)Fields of studyComputer Science & ITEngineering & TechnologySpecific majorsElectrical EngineeringComputer EngineeringComputer ScienceSoftware EngineeringThese are the poster's own eligibility settings. If you are unsure whether you qualify, read the full description or ask them directly from your account.### About NVIDIANVIDIA designs graphics processing units and the accelerated computing platforms built on them, used for AI training and inference, gaming, data centres, robotics and self-driving vehicles. It is headquartered in Santa Clara, California.