Machine Learning and Circuit Design Internship
Category: Interns/TempHire Type: Intern
Job ID 8736
Date posted 01/31/2025
Austin, Texas, United States
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 on machine learning experiments to improve PrimeSim engines.
- Assist in testing and benchmarking circuit foundation models used in simulation optimizations.
What You’ll Need:
- Currently pursuing a master's degree in Electronic Engineering, Computer Science, or related field in the penultimate year of study.
- Fluent in Python, C/C++.
- Coursework in AI/ML.
- Knowledge of circuit design.
- Experience with SPICE circuit simulation is preferred.
Key Program Facts:
- Program Length: 12-weeks
- Location: Austin, TX
- Working Model: In-office
- Full-Time/Part-Time: Full-time
- Start Date: May / June 2025
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."
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.