Foundation IP Intern: AI-Driven Edge AI & Low-Power

Ambiq Micro, Inc.; Singapore; On-site; SGD 17,000 - 28,000; Full time

Benefits offered by this job

Exposure to edge AI/IoT IP development

Job summary

Ambiq Micro, Inc. invites applications for an AI-Assisted Foundation IP Development Intern. The role focuses on standard cell and memory compiler IP for edge AI SoCs, using data analysis and ML to spot trends in characterization data and flag outliers early.

You will support circuit design, run characterization flows, and build predictive models to reduce simulation runs. This is an opportunity to contribute to low-power AI/IP initiatives at Ambiq.

Qualifications

• Pursuing a BS in EE, CE, Microelectronics, or related field (rising Junior/Senior).
• Working knowledge of Python and basic ML concepts (regression, clustering).
• Comfort working with large datasets.
• Basic understanding of circuit design and IC layout concepts (DRC/LVS).

Responsibilities

• Support circuit design, spice/Monte Carlo simulation and layout of standard cells.
• Perform layout tasks (placement, routing, DRC/LVS cleanup) for foundation IP.
• Characterize standard cells (timing, power, noise) across PVT corners.
• Run characterization flows using tools like Liberate.
• Analyze characterization data using Python (pandas, scikit-learn) to find trends and outliers.
• Build simple predictive models to flag likely failures and reduce simulation runs.
• Help debug mismatches between simulated and characterized results.
• Document findings and share with the IP team.

Skills

Python programming

ML concepts

Data analysis

Large datasets

Education

BS in EE/CE/Microelectronics or related field

Tools

Liberate

Tempus

Virtuoso

Calibre

Job description

Ambiq Micro, Inc. invites applications for an AI-Assisted Foundation IP Development Intern. The role focuses on standard cell and memory compiler IP for edge AI SoCs, using data analysis and ML to spot trends in characterization data and flag outliers early.

You will support circuit design, run characterization flows, and build predictive models to reduce simulation runs. This is an opportunity to contribute to low-power AI/IP initiatives at Ambiq.