12-Week Deep Learning & HPC Architecture Internship

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

Benefits offered by this job

Intern benefits

Job summary

NVIDIA invites students to join a 12-week full-time internship in Deep Learning Computer Architecture. You will work on GPU/CPU architectured focused projects with measurable business impact and collaboration across the team. Applicants should be pursuing a B.S., M.S., or Ph.D.

in Electrical/Computer Engineering or related fields and demonstrate relevant coursework or internship experience. Hourly rates are position- and location-based, with internships offering benefits.

Qualifications

• Actively enrolled in university for full duration of internship with graduation date clearly shown on resume.
• Course or internship experience in GPU/CPU architecture, deep learning, and HPC areas is preferred.

Responsibilities

• Contribute to projects with measurable impact within the Deep Learning Computer Architecture group.
• Collaborate with engineers to develop, optimize, and analyze GPU/CPU architectures and performance.
• Work across CUDA, parallel programming, and DL frameworks to support research goals.

Skills

GPU Architecture

CPU Architecture

Deep Learning

GPU Computing

Parallel Programming

High-Performance Computing

Performance Modeling

Profiling

CUDA

C++

Python

Education

Bachelor’s/Master’s/Ph.D. in Electrical Engineering, Computer Engineering, or related field

Tools

CUDA

C++

Python

MPI

OpenMP

PyTorch

TensorFlow

Job description

NVIDIA invites students to join a 12-week full-time internship in Deep Learning Computer Architecture. You will work on GPU/CPU architectured focused projects with measurable business impact and collaboration across the team. Applicants should be pursuing a B.S., M.S., or Ph.D.

in Electrical/Computer Engineering or related fields and demonstrate relevant coursework or internship experience. Hourly rates are position- and location-based, with internships offering benefits.