Machine Learning & Clock Tree Synthesis 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:

• Work with Synopsys’ clock tree synthesis experts to study and explore various state of art clock tree synthesis and concurrent clock and data optimization techniques to improve PPA (performance, power, and area) of high-performance digital designs.
• Study and explore the effect of advanced process nodes on digital clocking systems.
• Study and explore the potential of machine learning and AI-based methods in solving digital placement and routing problems.
• Develop models and algorithms under the guidance of the Synopsys clock tree synthesis R&D.

What You’ll Need:

• Currently a senior year student, Master or PhD students preferred.
• Proficiency in C++ and/or Python programming.
• Knowledge and experience in Machine Learning and Large Language Models (LLM) will be preferred.

Key Program Facts:

• Program Length: 12 weeks
• Location: Sunnyvale, CA
• Working Model: In-office
• Full-Time/Part-Time: Full-time
• Start Date: May / June 2025