PhD Engineering Summer Intern: GPU & AI Systems Research

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

Benefits offered by this job

Intern benefits

Job summary

NVIDIA invites Ph.D. students to join our engineering internship program in California. You will work on design and implementation ideas across GPU/CPU architectures, systems, OS, AI, and distributed systems, aiming to advance NVIDIA's computing frontier.

You must be enrolled in a Ph.D. program with strong research credentials, proficient in C, C++, Python, and CUDA, and comfortable collaborating with multiple teams and external researchers to translate research into prototypes and products.

Qualifications

• Must be actively enrolled in a university pursuing a Ph.D. degree for the full duration of the internship; anticipated graduation date must be indicated on resume.
• Programming skills: C, C++, Python, CUDA.
• Strong research background with publications at top conferences.

Responsibilities

• Design and implement novel ideas in GPU/CPU architectures, systems architectures, OS, AI systems, and distributed systems.
• Collaborate with other team members, teams, and external researchers.
• Transfer research to product groups; deliver prototypes, patents, products, or publications.

Skills

C

C++

Python

CUDA

Education

PhD in Computer Science / Electrical Engineering or related field

Job description

NVIDIA invites Ph.D. students to join our engineering internship program in California. You will work on design and implementation ideas across GPU/CPU architectures, systems, OS, AI, and distributed systems, aiming to advance NVIDIA's computing frontier.

You must be enrolled in a Ph.D. program with strong research credentials, proficient in C, C++, Python, and CUDA, and comfortable collaborating with multiple teams and external researchers to translate research into prototypes and products.