PhD Research Internship: GPU/CPU Architecture & Systems

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

Benefits offered by this job

Intern benefits

Competitive hourly rate

Job summary

NVIDIA invites PhD candidates for a research internship in Computer Architecture and Systems. You will design and implement novel ideas across GPU/CPU architectures, systems and AI workloads, collaborating with researchers to push the boundaries of accelerated computing.

Eligible interns should be actively enrolled in a PhD program in CS or EE, with publications and strong programming skills in C/C++, Python and CUDA.

Qualifications

• PhD candidate in CS/EE; full duration of internship.
• Experience with C, C++, Python and CUDA.
• Strong research background with publications at top conferences.

Responsibilities

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

Skills

C

C++

Python

CUDA

Communication

Collaboration

Education

PhD candidate in CS/EE

Job description

NVIDIA invites PhD candidates for a research internship in Computer Architecture and Systems. You will design and implement novel ideas across GPU/CPU architectures, systems and AI workloads, collaborating with researchers to push the boundaries of accelerated computing.

Eligible interns should be actively enrolled in a PhD program in CS or EE, with publications and strong programming skills in C/C++, Python and CUDA.