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EDA/AI Research Intern

Synopsys

Synopsys

Software Engineering, Data Science
Sunnyvale, CA, USA
Posted 6+ months ago
Category Interns/Temp Hire Type Intern Job ID 9970 Base Salary Range $0-$0 Remote Eligible No Date Posted 18/03/2025

Job Title: EDA/AI Research Intern

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.

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

What You’ll Be Doing:

  • Research and engage in Electronic Design Automation (EDA) tool development.
  • Build machine learning and deep learning solutions to solve engineering problems.
  • Utilize Generative AI, including LLM models, prompt engineering, and AI agents to create solutions.
  • Develop software collaboratively, utilizing programming skills in Python, C/C++, and Linux.
  • Deliver prototype solution to team with adequate testing.

What You’ll Need:

  • Currently pursuing a MS/PhD in Electrical Engineering, Computer Science, or Machine Learning. Background in Electronic Design Automation (EDA) is desirable.
  • Strong foundation in Machine Learning/Deep Learning algorithms and frameworks (Scikit-learn, TensorFlow, PyTorch, Keras); Probability and Statistics; Knowledge of optimization techniques.
  • Familiarity with Generative AI, including LLM models, prompt engineering, RAG, Fine tuning of models and AI agent development.
  • Excellent programming skills in Python, C/C++, and Linux-based development.
  • Good communication, interpersonal, and problem-solving skills.

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.