PhD Engineering Summer Internship: AI Systems & GPU Architecture

NVIDIA Corporation; Santa Clara (CA); On-site; USD 52,000 - 124,000; Part time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation in Santa Clara, CA is seeking Ph.D. students for engineering internships focused on GPU/CPU architectures, AI systems, and distributed systems. This hands-on program aims to advance NVIDIA's leadership in accelerated computing.

You will collaborate with researchers and teams, translate research into prototypes and potentially patents, and contribute to product-ready results that push the boundaries of modern computing.

Qualifications

• Must be actively enrolled in a university pursuing a Ph.D. for the full duration of the internship; anticipated graduation date must be indicated on resume.
• Programming knowledge in C, C++, Python, CUDA is preferred.
• Strong research background with publications in top venues.
• Excellent communication and collaboration skills.

Responsibilities

• Design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems.
• Collaborate with team members, other teams, and external researchers.
• Translate research into prototypes, products, or publish papers.
• Deliverables may include prototypes, patents, products, and/or publications.

Skills

C

C++

Python

CUDA

Education

PhD candidate in Computer Science or Electrical Engineering

Tools

Git

Job description

NVIDIA Corporation in Santa Clara, CA is seeking Ph.D. students for engineering internships focused on GPU/CPU architectures, AI systems, and distributed systems. This hands-on program aims to advance NVIDIA's leadership in accelerated computing.

You will collaborate with researchers and teams, translate research into prototypes and potentially patents, and contribute to product-ready results that push the boundaries of modern computing.