AI-Driven Physical Design Intern (PhD)

Intel Corporation

Santa Clara (CA)

On-site

USD 142,000 - 143,000

Full time

3 days ago

Be an early applicant

Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

On-site internship

Job summary

Intel Corporation seeks PhD interns in Electrical/Computer Engineering or CS to advance AI-driven physical design. You will research AI/ML methods, build AI-enhanced workflows, and develop data-analysis pipelines to guide design decisions and optimize PPA.

on-site in Santa Clara, with opportunities across US locations. The role emphasizes collaboration with cross-functional AI and design teams, strong scripting in Python/TCL, and applying GNNs to dynamic design problems while measuring

Qualifications

Enrolled in a PhD program in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
Proficiency with industry-standard physical design tools (synthesis, place & route, timing analysis).
Scripting with Python or TCL for flows and debugging.
Understanding of RTL and digital design concepts.

Responsibilities

Research and implement AI/ML techniques to identify opportunities for improving physical design processes.
Develop AI-enhanced workflows for high-performance silicon implementation.
Build ML-powered data analysis and summarization pipelines for faster design decisions.
Design and implement Graph Neural Network (GNN) based systems for intelligent design execution.
Develop automation frameworks using Python and ML libraries (TensorFlow, PyTorch) with TCL/Perl scripting.
Collaborate with AI research and design teams to align AI strategies with project goals.
Evaluate AI-driven methods against traditional approaches to demonstrate improvements in PPA.