PhD Researcher — GPU/CPU Architecture & Systems Internship

NVIDIA; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA invites Ph.D. students to join as a Research Computer Architecture and Systems intern in Santa Clara, CA. This hands-on role focuses on advancing GPU/CPU architectures, AI systems, and scalable distributed systems while collaborating with leading researchers.

You will design novel architectures, contribute to publications, and help transfer research insights to NVIDIA product teams. Ongoing resume review and potential recruiter outreach apply.

Qualifications

• Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field for the full duration of the internship.
• Prior experience with C, C++, Python, CUDA is preferred.

Responsibilities

• Design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems.
• Collaborate with other team members, teams, and external researchers.
• Transfer research to product groups to enable new products or types of products, delivering prototypes, patents, products, or publications.

Skills

C

C++

Python

CUDA

Education

PhD student

Job description

NVIDIA invites Ph.D. students to join as a Research Computer Architecture and Systems intern in Santa Clara, CA. This hands-on role focuses on advancing GPU/CPU architectures, AI systems, and scalable distributed systems while collaborating with leading researchers.

You will design novel architectures, contribute to publications, and help transfer research insights to NVIDIA product teams. Ongoing resume review and potential recruiter outreach apply.