Deep Learning Intern: Hands-on AI & HPC Projects

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

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation offers a 12-week full-time internship with hands-on projects in Deep Learning and AI across GPUs, CUDA, and related software. Interns contribute to real-world tasks in neural networks, software libraries, and performance optimization while learning from industry-leading teams.

Eligible candidates are enrolled in a B.S., M.S., or Ph.D. program in Electrical/Computer Engineering or related fields and must be available for the full duration.

Qualifications

• Must be actively enrolled in a university for the full duration of the internship.
• Pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or related field.
• Experience with CUDA, Python, and C/C++ is preferred.

Responsibilities

• Work on developing algorithms and frameworks for deep learning applications.
• Contribute to performance optimization of GPU implementations and CUDA libraries.
• Collaborate with NVIDIA Deep Learning teams on real-world projects.

Skills

C

C++

CUDA

Python

Linux

x86/ARM

GPU

Education

Pursuing B.S./M.S./Ph.D. in EE/CE or related

Tools

Docker/Containers

Kubernetes

AWS/Azure/GCP

Job description

NVIDIA Corporation offers a 12-week full-time internship with hands-on projects in Deep Learning and AI across GPUs, CUDA, and related software. Interns contribute to real-world tasks in neural networks, software libraries, and performance optimization while learning from industry-leading teams.

Eligible candidates are enrolled in a B.S., M.S., or Ph.D. program in Electrical/Computer Engineering or related fields and must be available for the full duration.