Technical Engineering Intern - AI Research and Development Internship

Technical Engineering Intern - AI Research and Development Internship

Introduction

We Are: Drive technology innovations that shape the way we live and connect. Our technology drives the Era of Pervasive Intelligence, where smart tech and AI are seamlessly woven into daily life. From self-driving cars and health-monitoring smartwatches to renewable energy systems that efficiently distribute clean power, Synopsys creates high-performance silicon chips that help build a healthier, safer, and more sustainable world.

Internship Experience: At Synopsys, interns 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. Join us and start shaping your future today!

Mission Statement: Our mission is to fuel today's innovations and spark tomorrow's creativity. Together, we embrace a growth mindset, empower one another, and collaborate to achieve our shared goals. Every day, we live by our values of Integrity, Excellence, Leadership, and Passion, fostering an inclusive culture where everyone can thrive—both at work and beyond.

What You'll Be Doing

Join our innovative team where you'll explore the exciting intersection of artificial intelligence and semiconductor design! This role explores how AI can assist selected digital design and verification tasks

Improveengineeringproductivity, and support future AI-driven semiconductor development. Your responsibilities will include:

• Exploring AI-Driven Automation: Research andprototype AI agent solutions to assist selected tasks

in digital design and verification workflowswith a focus on practical use cases and proof-of-concept development.

• Building AI Prototypes: Design and implement AI prototypes that can analyze results, identifypossible root causes, recommend potential solutions, and improve workflow efficiency, demonstrating the practical application of generative AI and LLMs in real-world engineering scenarios.

• Learning Design and Verification Flows:Learn the fundamentals ofsemiconductor design and verification processes, including RTL design, and identify common engineering challenges that can benefit from AI automation.

• Developing Intelligent Solutions: Create AI agents using frameworks and automation tools that can intelligently assist engineers in their daily tasks, from code analysis to problem detection and resolution.

• Collaborating on Innovation: Work with experienced engineers to explore practical applications of agentic AIin semiconductor development, contributing fresh perspectives and creative solutions.

• Evaluating AI Solutions: Develop simple evaluation methods to measure the accuracy, usefulness, and limitations of AI prototypes. Document the results and share key findings with the team.

What You'll Need

Required Qualifications:

• Currently pursuing a degree in Computer Science, Electrical Engineering, Computer Engineering, or related technical discipline.

• Basic knowledge of AI and Large Language Models (LLMs), with understanding of how they can be applied to solve real-world problems.

• Good Python programming skills with ability to write clean, efficient code.

•Familiarity with Python-based AI tools, LLM APIs, or AI agent frameworks is a plus.

• Basic understanding of digital design and verification concepts and workflows.

• Strong problem-solving skills with ability to tackle complex technical challenges.

• Curious and eager to learn, with passion for exploring new technologies and methodologies in AI and semiconductor design.

• Ability to document work clearly and communicate technical findings to the team.

Preferred Qualifications:

• Experience with machine learning frameworks and generative AI applications.

• Knowledge of RTL design and verification methodologies.

• Participation in AI research projects, hackathons, or personal projects demonstrating innovation in AI agent development.

• Understanding ofsemiconductor design flows and EDA tools.

Key Program Facts

Program Length: December 2026 – May 2027 (6 months)

Location: Ho Chi Minh (VN04)

Working Model: Onsite