PhD Hardware Internship: ASIC & ML Accelerators

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

Job summary

NVIDIA invites PhD students in Computer Science or Electrical Engineering to join our 2027 Internships: Ph.D. Research Hardware. You will design circuits, pursue ASIC development, and apply advanced EDA methods while collaborating with internal teams and external researchers.

Expected outcomes include prototypes, publications, and potential patents as your research helps enable new products and capabilities across NVIDIA's hardware platforms.

Qualifications

• Must be actively enrolled in a university pursuing a Ph.D. in Computer Science, Electrical Engineering, or a related field for the full duration of the internship.
• Anticipated graduation date must be clearly indicated on resume or CV.
• Experience with Python/C/C++, MATLAB, CUDA, Verilog/SystemVerilog, EDA tools, and ML frameworks is preferred.

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 external researchers.
• Transfer research to product groups to enable new products; deliverables may include prototypes, patents, products, or publications.

Skills

Python

C

C++

Perl

MATLAB

CUDA

Verilog

SystemVerilog

ML frameworks

EDA tools

Education

PhD candidate in CS/EE

Tools

Cadence

Synopsys

Job description

NVIDIA invites PhD students in Computer Science or Electrical Engineering to join our 2027 Internships: Ph.D. Research Hardware. You will design circuits, pursue ASIC development, and apply advanced EDA methods while collaborating with internal teams and external researchers.

Expected outcomes include prototypes, publications, and potential patents as your research helps enable new products and capabilities across NVIDIA's hardware platforms.