2 дня назад
AI-Assisted Memory Design Intern
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI-Assisted Memory Design Intern (AI/ML and Semiconductor Design): Exploring self-adaptive memory architectures that use operating-condition awareness to optimize performance, power efficiency, robustness, and yield with an accent on AI/ML-assisted control, voltage modulation, timing, and failure prediction. Focus on analyzing memory behavior across voltage, temperature, process variation, timing, and parasitic effects, then benchmarking and presenting the resulting transistor-level design insights.
Location: Singapore
Company
develops ultra-low-power semiconductor solutions for wearables, medical devices, IoT products, and AI-powered edge applications.
What you will do
- Analyze conventional memory assist techniques and investigate AI/ML-driven optimization of control logic, supply modulation, voltage generation, and replica or tracking schemes.
- Study memory operating conditions, failure signatures, and robustness across voltage, temperature, process variation, timing, and parasitic effects.
- Explore self-timed, self-adaptive, and intelligent memory techniques that dynamically optimize assist decisions.
- Develop AI/ML-assisted monitoring, prediction, and adaptive control for memory assist, voltage, timing, and read/write operations.
- Document, benchmark, and present the proposed self-adaptive memory architecture and design insights.
Requirements
- Pursuing a BS in Electrical Engineering, Computer Engineering, Microelectronics, or a related field as a rising junior or senior.
- Coursework in digital integrated circuits, analog circuit design, VLSI design, or semiconductor devices.
- Coursework in machine learning, optimization, data analytics, computational methods, or related subjects.
- Basic understanding of CMOS circuit design and IC layout concepts, including DRC/LVS.
- Working knowledge of Python and basic machine learning concepts such as regression and clustering.
- Comfort working with large datasets and strong analytical and problem-solving ability.
Nice to have
- Exposure to Virtuoso, Calibre, SiliconSmart, PrimeTime, or Liberate.
- Interest in low-power IP for edge AI and IoT.
- Curiosity about transistor-level circuit design and eagerness to learn.
Culture & Benefits
- Cross-functional work spanning design, research, development, production, marketing, sales, and operations.
- Opportunity to contribute to complex semiconductor and energy-efficiency challenges.
- Work environment centered on innovation, collaboration, focus, learning, and achievement.
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