GPU & Computer Architecture Intern

NVIDIA Corporation; Santa Clara, Northern (CA, KY); Hybrid; USD 28,000 - 98,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA is offering a 12-week, full-time internship in our Computer Architecture teams based in Santa Clara. You will work on projects with measurable impact and gain hands-on experience at a leading GPU company.

We seek students pursuing a B.S., M.S., or Ph.D. in Electrical or Computer Engineering or related fields, with experience in CUDA, Linux, C/C++, and parallel programming. Applications are accepted on an ongoing basis; NVIDIA is an equal opportunity employer.

Qualifications

• Active enrollment in a university pursuing a B.S./M.S./Ph.D. in Electrical Engineering, Computer Engineering, or related field for the full duration of the internship.
• Anticipated graduation date must be indicated on resume or CV to be considered.
• Experience in one or more focus areas such as Computer Graphics, Deep Learning, Ray Tracing, Parallel Programming, Memory Architecture, HPC Systems, VLSI Design, GPU/CPU Architecture, Computer Arithmetic, CMOS, Computer Organization, or CUDA.

Responsibilities

• Work on 12-week, full-time internship projects with measurable impact in NVIDIA's Computer Architecture teams.
• Contribute to development and evaluation of high-performance computing systems and GPU/CPU architectures.
• Apply CUDA, Linux, C/C++, and parallel programming to real-world problems in a collaborative setting.

Skills

CUDA

Linux

C/C++

Python

Verilog/SystemVerilog

GPU Architecture

HPC

VLSI

Parallel Programming

Embedded Systems

Education

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

Tools

Verilog

SystemVerilog

VHDL

CUDA

Linux

Git/Perforce

MPI/OpenMP

Job description

NVIDIA is offering a 12-week, full-time internship in our Computer Architecture teams based in Santa Clara. You will work on projects with measurable impact and gain hands-on experience at a leading GPU company.

We seek students pursuing a B.S., M.S., or Ph.D. in Electrical or Computer Engineering or related fields, with experience in CUDA, Linux, C/C++, and parallel programming. Applications are accepted on an ongoing basis; NVIDIA is an equal opportunity employer.