Synopsys

Job Title: Offline RL for EDA Optimization 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:

• Develop and implement offline reinforcement learning models for parameter optimization
• Analyze historical design and simulation data to train and validate RL models
• Define and optimize reward functions based on design metrics (e.g., timing, power, area)
• Collaborate with engineering teams to integrate AI-driven solutions into SR‑ECO workflows
• Evaluate model performance against baseline methods and identify improvement opportunities
• Document methodologies, experiments, and results

What You’ll Need:

• Knowledge of machine learning techniques, especially reinforcement learning. 
• Experience with Python and common ML frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with data analysis and optimization methods
• Strong problem-solving skills and ability to work independently

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.