Internship: Computer Architecture - GPU/HPC

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

Benefits offered by this job

Intern benefits

Job summary

NVIDIA offers a 12-week full-time internship in our industry-leading Computer Architecture teams. Interns will gain hands-on experience and contribute to projects with real impact while based in Santa Clara, CA.

We seek students pursuing a B.S., M.S., or Ph.D. in Electrical or Computer Engineering, with strong foundations in graphics, deep learning, parallel programming, and HPC. Prior experience with CUDA, HDL, and Linux is valued, and intern benefits apply.

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.
• Course or internship experience related to Computer Graphics, Deep Learning, Ray Tracing, Parallel Programming, Memory Architecture, or HPC Systems.
• Experience in Verilog, SystemVerilog, VHDL, CUDA, Linux, C, C++, Python, Perl, DirectX/OpenGL/Vulkan, GPU Computing (CUDA/OpenCL), version control (Perforce, Git).

Responsibilities

• Work on 12-week projects with measurable impact on the business.
• Collaborate with a leading Computer Architecture team to tackle challenging problems.

Skills

Computer Graphics

Deep Learning

Parallel Programming

GPU Architecture

Memory Architecture

HPC Concepts

Embedded Systems

Education

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

Tools

Verilog

SystemVerilog

VHDL

CUDA

Linux

C

C++

Python

Perl

DirectX/OpenGL/Vulkan

OpenCL

Git

Perforce

MPI

OpenMP

Job description

NVIDIA offers a 12-week full-time internship in our industry-leading Computer Architecture teams. Interns will gain hands-on experience and contribute to projects with real impact while based in Santa Clara, CA.

We seek students pursuing a B.S., M.S., or Ph.D. in Electrical or Computer Engineering, with strong foundations in graphics, deep learning, parallel programming, and HPC. Prior experience with CUDA, HDL, and Linux is valued, and intern benefits apply.