Deep Learning GPU Architecture Internship — 12 Weeks

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

Benefits offered by this job

Internbenefits

Job summary

NVIDIA invites motivated students for a 12-week full-time Deep Learning Computer Architecture internship. You will work on impactful projects across GPU architecture, HPC, and related areas, contributing to optimization and performance modeling.

Active enrollment in a relevant degree program is required, with an anticipated graduation date clearly indicated on your resume. The internship offers exposure to real-world AI systems, collaboration with industry leaders, and a structured internship

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 a resume or CV to be considered.
• Course or internship experience in GPU/CPU architecture, deep learning, GPU computing, parallel programming or HPC is preferred.

Responsibilities

• Participate in a 12-week full-time internship with projects that have measurable business impact.
• Work on research or development tasks in Deep Learning Computer Architecture.
• Collaborate with teams focusing on GPU Architecture, HPC, or related areas.
• Build and evaluate models or performance analyses; optimize kernels and parallel code.

Skills

GPU Architecture

CPU Architecture

Deep Learning

GPU Computing

Parallel Programming

High-Performance Computing

Modelling/Performance Analysis

Parallel Processing

Neural Network Architectures

GPU Acceleration

PyTorch

TensorFlow

Caffe

CUDA

OpenCL

OpenACC

MPI

OpenMP

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, or related field

Master's degree in Electrical Engineering, Computer Engineering, or related field

PhD in Electrical Engineering, Computer Engineering, or related field

Tools

CUDA

OpenCL

OpenACC

MPI

OpenMP

PyTorch

TensorFlow

Caffe

C

C++

Job description

NVIDIA invites motivated students for a 12-week full-time Deep Learning Computer Architecture internship. You will work on impactful projects across GPU architecture, HPC, and related areas, contributing to optimization and performance modeling.

Active enrollment in a relevant degree program is required, with an anticipated graduation date clearly indicated on your resume. The internship offers exposure to real-world AI systems, collaboration with industry leaders, and a structured internship