NVIDIA Internships: Software Engineering

# NVIDIA 2027 Internships:
Software Engineering Santa Clara, CA129 days left, closes Sat, January 30, 202712 weeks

University students (4-year)### The role Compensation $20 per hour Hours
40

Duration
12 weeks

Term Summer Location Santa  Clara, CATeamSoftware Engineering Apply bySat, January 30, 2027### About this internship NVIDIA 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### Skills

RequiredC++Python Linux/Unix Nice to have

Java Java Script Go SQLGit Docker Kubernetes Deep  Learning### Who this is for Student type University students (4-year)
Fields of study

Computer Science & IT Engineering & Technology Specific majors

Electrical Engineering Computer Engineering Computer Science Software Engineering These 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 NVIDIA 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.