# Agentic Automation and GPU Acceleration for Digital Implementation

**Company**: Synopsys
**Location**: Taipei
**Work arrangement**: onsite
**Experience**: entry
**Job type**: internship
**Category**: Engineering
**Industry**: Technology
**Ticker**: SNPS
**Wikidata**: https://www.wikidata.org/wiki/Q2303478

**Apply**: https://careers.synopsys.com/job/hsinchu/agentic-automation-and-gpu-acceleration-for-digital-implementation/44408/94950528880?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0a09bcf8-325

## Description

Our internship programs offer real-world projects, hands-on experience, and opportunities to collaborate with passionate teams globally. Explore your interests, share your ideas, and bring them to life while shaping your career path within our inclusive culture that fosters innovation and collaboration.

As an intern at Synopsys, you'll dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide,and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path.

**Design and implement agentic automation frameworks and algorithms to enhance digital implementation workflows, enabling intelligent decision-making and autonomous optimization.**

- Leverage GPU acceleration to improve performance and scalability of compute-intensive tasks in digital implementation, such as placement, routing, and timing optimization.

- Build AI-driven pipelines for automated constraint generation, PPA (Power, Performance, Area) optimization, and design space exploration.

- Collaborate with cross-functional teams to integrate agentic AI capabilities into existing EDA tools and methodologies

- Contribute to research initiatives exploring innovative applications of AI in electronic design automation and chip verification

- Document findings, create technical reports, and present results to team members and stakeholders

**Requirements:**

- Currently pursuing a bachelor's or master's degree in EDA

- Strong foundation in artificial intelligence, machine learning, or deep learning concepts and frameworks

- Programming proficiency in Python, C++, or similar languages commonly used in AI/ML development.

- Understanding of digital design, hardware description languages (Verilog/VHDL), or semiconductor design principles is a plus

- Analytical mindset with strong problem-solving skills and attention to detail

- Excellent communication skills and ability to work collaboratively in a dynamic, innovative team environment

- Passion for exploring emerging AI technologies and their applications in the semiconductor industry

**Duration:** 8 weeks

**Location:** Taipei, Taiwan

**Working Model:** In-office

**Start Date:** July 2026

## Skills

### Required
- EDA
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Python
- C++
- Verilog
- VHDL
- Semiconductor Design Principles

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Source: [Apply at careers.synopsys.com](https://careers.synopsys.com/job/hsinchu/agentic-automation-and-gpu-acceleration-for-digital-implementation/44408/94950528880?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)