2 дня назад
AI-Assisted Foundation IP Development Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI-Assisted Foundation IP Development Intern (AI/ML): Supporting standard-cell and memory-compiler IP development for edge AI SoCs with an accent on circuit design, IC layout, characterization, and data analysis. Focus on using Python and machine learning to identify characterization outliers, build predictive models, reduce simulation runs, and debug discrepancies between simulated and characterized results.
Location: Singapore
Company
develops low-power semiconductor solutions for wearables, medical devices, IoT products, and AI-powered edge applications.
What you will do
- Support circuit design, SPICE and Monte Carlo simulations, and layout of standard cells.
- Perform placement, routing, and DRC/LVS cleanup for foundation IP.
- Characterize standard cells for timing, power, and noise across PVT corners.
- Run characterization flows using tools such as Liberate.
- Analyze characterization data with Python, pandas, and scikit-learn to identify trends and outliers.
- Build predictive models, debug simulation mismatches, and document findings for the IP team.
Requirements
- Pursuing a BS in EE, CE, Microelectronics, or a related field as a rising junior or senior.
- Coursework in digital logic, analog, AI/ML, data science, VLSI, or semiconductor devices.
- Basic understanding of 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.
Nice to have
- Exposure to Virtuoso, Calibre, Liberate, or Tempus.
- A class project applying machine learning to engineering or scientific data.
- Interest in low-power IP for edge AI and IoT.
Culture & Benefits
- Work with cross-functional design, research, development, production, marketing, sales, and operations teams.
- Contribute to complex semiconductor projects focused on energy efficiency.
- Collaborate with teams across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore.
- Work in an environment built around innovation, collaboration, focus, learning, and achievement.
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