AI-Assisted Analog EDA Engineering Internship

Category Interns/Temp Hire Type Intern Job ID 17232 Remote Eligible No Date Posted 04/27/2026

Job Title: AI-Assisted Analog EDA Engineering Internship

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:

• Study existing analog place-and-route configuration frameworks, including YAML-based rule definitions used for: 
  • Device placement and matching
  • Dummy and guard-ring generation
  • Grid and routing track extraction
  • Foundry PCell interpretation
• Design and prototype AI-assisted workflows for configuration authoring and debugging, such as: 
  • Syntax and semantic error detection
  • Configuration intent explanation in natural language
  • Early validation of placement and routing rules
• Investigate natural-language–driven rule generation, translating high-level layout intent into valid configuration rules
• Analyze configuration datasets across multiple process nodes and explore AI-assisted migration strategies
• Build proof-of-concept tooling (scripts, prompts, validation pipelines, or editor integrations)
• Document findings, limitations, and recommendations for long-term integration into production EDA tools

What You’ll Need:

• Currently pursuing a master’s degree in Electronic Engineering, Computer Engineering, or a related field.
• Knowledge of physical design on placement and routing
• Strong problem-solving skills.

Key Program Facts:

• Program Length: 8 Weeks
• Location: Hsinchu. Taiwan
• Working Model: In-office
• Full-Time/Part-Time: Full-Time preferred
• Start Date: July, 2026

Equal Opportunity Statement:

Synopsys is committed to creating an inclusive workplace and is an equal opportunity employer. We welcome all qualified applicants to apply, regardless of age, color, family or medical leave, gender identity or expression, marital status, disability, race and ethnicity, religion, sexual orientation, or any other characteristic protected by local laws. If you need assistance or a reasonable accommodation during the application process, please reach out to us.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.