PhD Intern: AI-Driven Physical Design Engineer

Intel Corporation; Fort Collins (CO); Sur place; USD 142 000 - 143 000; Temps partiel

Résumé du poste

Intel Corporation in Santa Clara, CA invites a PhD intern to join its AI-driven physical design team. You will help develop AI-powered workflows for silicon implementation and intelligent data analysis to optimize PPA and execution efficiency.

The role emphasizes collaboration across the Data Center Group, building dashboards and ML-powered tools using Python, TCL, and industry-standard EDA flows to advance design quality.

Qualifications

• Enrolled in a PhD program in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Proficiency in industry-standard tools for physical design, including synthesis, place and route, and timing analysis software.
• Familiarity with scripting languages like Python or TCL for flow automation and debugging.
• Understanding of digital design concepts and methodologies, including RTL design and verification.

Responsabilités

• 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).

Connaissances

Python programming

Graph Neural Networks (GNNs)

Data analysis (Pandas/NumPy/Matplotlib

Reinforcement learning concepts

EDA tools and physical design

Formation

PhD student in Electrical Engineering, Computer Engineering, or Computer Science

Outils

Synthesis tools

Place-and-route tools

Timing analysis software

Description du poste

Intel Corporation in Santa Clara, CA invites a PhD intern to join its AI-driven physical design team. You will help develop AI-powered workflows for silicon implementation and intelligent data analysis to optimize PPA and execution efficiency.

The role emphasizes collaboration across the Data Center Group, building dashboards and ML-powered tools using Python, TCL, and industry-standard EDA flows to advance design quality.