Agentic Automation and GPU Acceleration for Digital Implementation Intern

Job Title

Agentic Automation and GPU Acceleration for Digital Implementation Intern

Role Summary

This internship supports development of agentic automation frameworks and GPU-accelerated solutions to improve digital implementation workflows (placement, routing, timing/PPA optimization) within EDA tools. The intern will implement algorithms, build AI-driven pipelines, and collaborate with cross-functional teams to integrate solutions into existing toolchains.

Program details: 8-week, in-office internship in Taipei (start July 2026). Full-time preferred.

Experience Level

Entry-level (Internship). Suitable for current undergraduate or master's students; no minimum professional experience required.

Responsibilities

Primary responsibilities include research and implementation work to accelerate and automate digital implementation tasks.

• Design and implement agentic automation frameworks and decision-making algorithms for digital implementation workflows.
• Develop GPU-accelerated components to speed compute-intensive tasks such as placement, routing, and timing optimization.
• Build AI-driven pipelines for automated constraint generation, PPA (Power, Performance, Area) optimization, and design-space exploration.
• Integrate agentic AI capabilities with existing EDA tools and collaborate with cross-functional engineering teams.
• Contribute to research initiatives and prototypes applying AI to electronic design automation and chip verification.
• Document results, produce technical reports, and present findings to team members and stakeholders.

Requirements

Looking for candidates with practical skills in AI/ML and software development; degree requirement is listed under Education Requirements below.

• Must-have: Strong foundation in artificial intelligence, machine learning, or deep learning concepts and frameworks.
• Must-have: Programming proficiency in Python and/or C++ (or similar languages used in AI/ML development).
• Must-have: Analytical problem-solving skills and attention to detail.
• Must-have: Good communication skills and ability to work collaboratively in a team.

Nice-to-have:

• Understanding of digital design, hardware description languages (Verilog/VHDL), or semiconductor design principles.
• Experience with GPU programming or parallel computing frameworks.
• Interest in applying emerging AI technologies to semiconductor and EDA problems.

Education Requirements

Currently pursuing a Bachelor's or Master's degree in Electronic Design Automation (EDA) or a closely related field (the posting specifies "currently pursuing a bachelor's or master's degree in EDA").

About the Company

Company: Synopsys

Headquarters: Mountain View, California, USA

Synopsys is a leading company in electronic design automation (EDA) and semiconductor IP solutions. It provides tools and services for designing and verifying complex semiconductor devices and systems. The company plays a pivotal role in the semiconductor industry, helping engineers innovate and deliver higher-quality products faster. Synopsys is committed to advancing technology standards and offers a range of software and hardware solutions to its clients globally.