PhD Research Hardware Intern - ASIC/EDA Prototyping

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

Benefits offered by this job

Intern benefits

Job summary

NVIDIA offers a Ph.D. Research Hardware internship in California, inviting students to design and implement novel circuit and VLSI approaches. You will work with hardware teams, collaborate with researchers, and help transfer research into product context.

Strong candidates will have Ph.D. enrollment in CS/EE, experience with Python/C/C++, CUDA, Verilog, and ML tools, and a track record of publications or patents. Intern benefits apply, and applications are reviewed continuously.

Qualifications

• Enrolled in a Ph.D. program in Computer Science or Electrical Engineering for the full duration of the internship.
• Anticipated graduation date should be indicated on resume/CV.

Responsibilities

• Design and implement novel approaches to circuit and VLSI design, including ASIC development and advanced EDA methodologies.
• Collaborate with other team members, teams, and/or external researchers.
• Transfer research to product groups to enable new products or types of products; deliver prototypes, patents, or publications.

Skills

Python

C/C++

CUDA

Communication

Publications

Education

Ph.D. student in CS/EE

Tools

Cadence

Synopsys

HFSS

PyTorch

Verilog/SystemVerilog

Job description

NVIDIA offers a Ph.D. Research Hardware internship in California, inviting students to design and implement novel circuit and VLSI approaches. You will work with hardware teams, collaborate with researchers, and help transfer research into product context.

Strong candidates will have Ph.D. enrollment in CS/EE, experience with Python/C/C++, CUDA, Verilog, and ML tools, and a track record of publications or patents. Intern benefits apply, and applications are reviewed continuously.