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2 дня назад

AI-Assisted Memory Design Intern

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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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

hirify.global 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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