AI-Assisted Memory Design Intern
Core
Design AI-assisted and self-adaptive memory techniques to optimize performance, power efficiency, and yield for low-power semiconductor chips.
Role type
Intern, IC design engineer (memory & AI/ML)
Builds
Low-power memory IP for edge AI/IoT devices
Domain
Semiconductor / VLSI / Machine Learning
Deliverable
production ML models
Required skills
CMOS circuit design, IC layout concepts, Python, Machine Learning (regression, clustering), Data Analytics, Optimization, Digital Integrated Circuits, Analog Circuit Design, VLSI Design
Preferred skills
Layout/schematic tools (Virtuoso, Calibre), Characterization tools (SiliconSmart, PrimeTime), Low-power IP for edge AI/IoT
Responsibilities
Analyze conventional memory assist techniques and explore AI/ML-driven optimization; Investigate AI/ML-based techniques to analyze memory operating conditions and predict robustness; Develop AI/ML-assisted monitoring and adaptive control techniques; Document, benchmark, and present self-adaptive memory architecture insights.