Synopsys

Job Title: Agentic Automation and GPU Acceleration for Digital Implementation

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:

• 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

What You’ll Need:

• 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

Key Program Facts:

• Program Length: 8 Weeks
• Location: Taipei. 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.