Preferred Background •Major in CS, Data Science, AI/ML, or Engineering •Familiarity with Python and common ML libraries •Interest in applied AI, ML systems, or AI-enabled applications
Internship Description
This internship provides hands-on, project-based exposure to mixed-signal IC design, focusing on the integration of analog and digital subsystems commonly used in data converters and interface circuits. Participants will explore both behavioral-level and circuit-level modeling under guided mentorship.
Activities & Exposure
• Simulate ADC/DAC architectures using Verilog-AMS or MATLAB
• Conduct behavioral and transistor-level verification
• Study parasitic effects, signal integrity, and performance limitations
• Prepare performance summaries and design documentation
Outcomes
• Mixed-signal system architecture concepts
• Verification workflows across abstraction levels
• Communicating mixed-signal design trade-offs clearly
Requirements
Preferred Background
Knowledge of analog and digital circuit fundamentals
Familiarity with Cadence Spectre, Verilog-AMS, or MATLAB
Interest in data converters or mixed-signal IC design