What are the responsibilities and job description for the Machine Learning & Clock Tree Synthesis Internship position at Synopsys?
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.
- 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.
- Program Length: 12 weeks
- Location: Sunnyvale, CA
- Working Model: In-office
- Full-Time/Part-Time: Full-time
- Start Date: May / June 2025
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.
Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
Apply NowSynopsys maintains a workplace where all personnel, customers, and vendors are treated with dignity, fairness, and respect. We maintain worldwide policies in our Work Rules Policy, which is applicable to all employees in furtherance of these principles. We pride ourselves on providing a healthy and productive work environment that is free from discrimination and harassment based on race, color, religion, gender, gender identity, sexual orientation, marital status, veteran status, age, national origin, citizenship, ancestry, physical or mental disability, pregnancy, medical condition, and any other characteristic protected by law. For applicants and employees with disabilities, we also make reasonable accommodations consistent with applicable laws and regulations. We are each expected to do our part to create a healthy and productive work environment for everyone. This includes bringing issues to management’s attention when you believe certain conditions are distracting from a good work environment. Our Work Rules Policy also allows you to raise concerns with other Synopsys managers. If employees are still unable to resolve their concerns, their disputes may be resolved through our Internal Issue Resolution Process Policy. In addition, all managers and employees in positions of authority have a special obligation to maintain and support a healthy and productive work environment.
