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 offers project-based learning exposure to analog integrated circuit (IC) design, focusing on fundamental building blocks used in signal conditioning and sensor interface circuits. Participants will work on guided analog circuit design and simulation exercises, gaining practical experience with industry-standard tools and design methodologies.
Activities & Exposure
• Practice designing and simulating analog blocks such as amplifiers, current mirrors, and voltage references
• Analyze key performance metrics including gain, bandwidth, noise, and stability
• Explore power consumption trade-offs and basic layout considerations
• Summarize design results in structured technical reports and reviews
Outcomes
• Practical understanding of analog IC design workflows
• Experience interpreting simulation results and design trade-offs
• Exposure to industry-standard analog design tools and practices
Requirements
Preferred Background
Electrical Engineering or Microelectronics major
Familiarity with analog circuit theory and MOSFET operation
Experience with Cadence Virtuoso, Spectre, or LTspice
Interest in analog or sensor-interface IC design