AI-Driven Physical Design Intern (PhD) - Silicon Innovation

Intel Corporation; Hillsboro (OR); On-site; USD 142,000 - 143,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Paid time off

Job summary

Intel Corporation seeks an AI-Driven Physical Design Engineering PhD Intern to leverage AI/ML for silicon implementation. You will develop AI-powered workflows, build data analysis capabilities, and design adaptive systems to optimize design decisions.

The role is part of the Data Center Group (DCG) and involves collaborating with AI researchers to improve PPA metrics, with an on-site work model in the United States.

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-and-route, timing analysis).
• Familiarity with Python or TCL for flow automation and debugging.
• Understanding of RTL design and verification.

Responsibilities

• Research and implement AI/ML techniques to identify new opportunities for improving physical design processes and methodologies.
• Develop AI-enhanced workflows for high-performance silicon implementation that reduce manual effort and improve design quality.
• Build ML-powered data analysis and summarization pipelines to enable faster, more accurate design decision-making.
• Design and implement Graph Neural Network (GNN) based systems to support dynamic, intelligent decision-making in design execution.
• Develop intelligent automation frameworks using Python, and ML libraries such as TensorFlow or PyTorch, alongside traditional scripting in TCL and Perl.
• Collaborate with cross-functional AI research and design engineering teams to align AI-driven strategies with broader project objectives.
• Evaluate and benchmark AI-driven methodologies against traditional approaches to demonstrate measurable improvements in PPA (Power, Performance, Area).

Skills

Strong problem-solving

Team collaboration

Organizational skills

Communication skills

Education

PhD in Electrical Engineering / Computer Engineering / Computer Science

Tools

Synthesis tools

Place & Route tools

Timing analysis software

Python

TCL

Job description

Intel Corporation seeks an AI-Driven Physical Design Engineering PhD Intern to leverage AI/ML for silicon implementation. You will develop AI-powered workflows, build data analysis capabilities, and design adaptive systems to optimize design decisions.

The role is part of the Data Center Group (DCG) and involves collaborating with AI researchers to improve PPA metrics, with an on-site work model in the United States.