Summer Internship: Computer Architecture & HPC

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 applicants for its 2027 Computer Architecture Internship. The program offers hands-on experience across GPU/CPU architecture, parallel programming, and performance analysis, with emphasis on real-world impact.

Interns work on multi-disciplinary projects, collaborating with engineers and researchers across NVIDIA’s architecture teams. Applicants should be actively enrolled in a degree program (B.S., M.S., or Ph.D.) and are expected to contribute to ongoing research, optimization,

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 indicated on resume.
• Experience in Computer Graphics, Deep Learning, Ray Tracing, Parallel Programming, Memory Architecture, or HPC systems is relevant.
• Familiarity with Verilog/ SystemVerilog, CUDA, Linux, C/C++, Python, or related tools is beneficial.

Responsibilities

• Work on 12-week, full-time projects with measurable impact on NVIDIA's business.
• Collaborate with Computer Architecture teams to design and evaluate architectures.
• Present results and learnings to mentors and peers during the internship.

Skills

CUDA

C++

Python

Verilog

SystemVerilog

Education

Bachelor's or higher in Electrical Engineering or Computer Engineering

Currently enrolled in B.S./M.S./Ph.D. program

Tools

Git

Perforce

MPI

OpenMP

Linux

Job description

NVIDIA invites applicants for its 2027 Computer Architecture Internship. The program offers hands-on experience across GPU/CPU architecture, parallel programming, and performance analysis, with emphasis on real-world impact.

Interns work on multi-disciplinary projects, collaborating with engineers and researchers across NVIDIA’s architecture teams. Applicants should be actively enrolled in a degree program (B.S., M.S., or Ph.D.) and are expected to contribute to ongoing research, optimization,