PhD Engineering Intern — GPU & Systems Research

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

Benefits offered by this job

Intern benefits

Job summary

NVIDIA internships offer hands-on experience with industry-leading CPU/GPU architectures, AI systems, and distributed platforms. Interns collaborate with researchers across teams to translate ideas into prototypes, patents, or products.

You must be actively enrolled in a PhD program in CS or EE, indicate your anticipated graduation date on your CV, and have programming experience in C, C++, Python, and CUDA, plus publications and strong communication skills.

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; anticipated graduation date must be clearly indicated on a resume or CV to be considered.
• Programming skills may include C, C++, Python, CUDA.
• Strong background in research with publications at top conferences.

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/or external researchers.
• Transfer research to product groups to enable new products; deliver prototypes, patents, products, and/or publishing original research.

Skills

C

C++

Python

CUDA

Education

Ph.D. in Computer Science or Electrical Engineering

Job description

NVIDIA internships offer hands-on experience with industry-leading CPU/GPU architectures, AI systems, and distributed platforms. Interns collaborate with researchers across teams to translate ideas into prototypes, patents, or products.

You must be actively enrolled in a PhD program in CS or EE, indicate your anticipated graduation date on your CV, and have programming experience in C, C++, Python, and CUDA, plus publications and strong communication skills.