ICV Runset Automation Internship
Overview
Our internship programs offer real-world projects, hands-on experience, and opportunities to collaborate with passionate teams globally. Explore your interests, share your ideas, and bring them to life while shaping your career path within our inclusive culture that fosters innovation and collaboration. Engineer your future with us!
Job Description
Category Interns/Temp Hire Type Intern Job ID 17412 Remote Eligible No Date Posted 05/11/2026
Job Title: ICV Runset Automation 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 scripts (e.g., Shell/Python) to automate the generation of ICV runsets
- Build and improve automation flows for runset creation and management
- Perform quality assurance (QA) to validate runset correctness and consistency
- Execute verification runs using ICV and analyze results (pass/fail, errors, coverage)
- Debug issues in runsets, scripts, or verification flows
- Conduct regression testing to ensure stability and reliability of runsets
- Collaborate with engineers to optimize verification workflows and improve efficiency
What You’ll Need:
- Currently pursuing a bachelor's or master's degree in Computer Science, Electrical Engineering, Computer Engineering, Artificial Intelligence, Machine Learning, or a related technical field.
- Proficiency in Shell scripting (Bash) and/or Python.
- Familiarity with Linux/Unix command-line environments.
- Basic programming skills, including control flow (if/else, loops, functions)
- Strong problem-solving and debugging skills, especially in analyzing logs and errors
- Strong scripting and Linux skills are required, with EDA and physical verification knowledge as a plus.
Key Program Facts:
- Program Length: 4-5 months
- Location: Hsinchu , Taiwan
- Working Model: In-office
- Full-Time/Part-Time: Part-Time preferred (2-3 days a week)
- 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.
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