Deep Learning & Computer Architecture Intern — 12 Weeks

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 invites academically strong students for a 12-week, full-time Deep Learning Computer Architecture internship in Santa Clara, CA. You will work on projects with measurable impact and collaborate with our AI hardware teams to advance accelerator design and software stacks.

Applicants should be enrolled in a B.S., M.S., or Ph.D. program in Electrical/Computer Engineering or related fields, with experience in GPU/CPU architecture, DL, and CUDA programming.

Qualifications

• Actively enrolled in university for full duration; indicate anticipated graduation date.
• Experience areas: GPU/CPU architecture, DL, GPU computing, parallel programming or HPC.
• Programming: C, C++, Perl, CUDA, PyTorch, TensorFlow; HPC knowledge (MPI/OpenMP).

Responsibilities

• Work on 12-week, full-time internship projects with measurable business impact.
• Collaborate with NVIDIA teams to gain hands-on DL Computer Architecture experience.

Skills

GPU Architecture

CPU Architecture

Deep Learning

Parallel Programming

High-Performance Computing

C

C++

Perl

CUDA

PyTorch

TensorFlow

Education

Pursuing B.S./M.S./Ph.D. in Electrical/Computer Engineering

Tools

MPI

OpenMP

CUDA toolkit

Job description

NVIDIA Corporation invites academically strong students for a 12-week, full-time Deep Learning Computer Architecture internship in Santa Clara, CA. You will work on projects with measurable impact and collaborate with our AI hardware teams to advance accelerator design and software stacks.

Applicants should be enrolled in a B.S., M.S., or Ph.D. program in Electrical/Computer Engineering or related fields, with experience in GPU/CPU architecture, DL, and CUDA programming.