Synopsys

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:

• Support the development and enhancement of Snowflake-based data models and SQL transformations.
• Assist with data pipeline development, testing, and execution for enterprise analytics use cases.
• Participate in unit testing and integration testing activities to ensure data quality and reliability.
• Help troubleshoot data issues and support existing corporate analytics applications.
• Collaborate with team members across data engineering, analytics, and business functions.
• Document work, design decisions, and learned best practices to facilitate knowledge sharing.

What You’ll Need:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science, Business Information Technology, or Management Information Systems.
• Coursework or project experience with relational databases (e.g., Snowflake) and data warehousing concepts such as fact/dimension modeling and star schema.
• Exposure to SQL (queries, joins, aggregations, subqueries, views) and data ingestion concepts.
• Familiarity with modern BI tools (Power BI, Tableau) and basic AI concepts/tools (Copilot, Agents).
• Coursework or working knowledge of Python and version control (Git).
• Strong analytical, problem-solving, and troubleshooting skills; ability to follow technical specifications and implement solutions with guidance.
• Understanding of the systems development life cycle (SDLC) and willingness to test, validate, and document development work.
• Academic projects, labs, or internships involving databases, analytics, or cloud platforms are highly desirable.

Key Program Facts:

• Program Length: 3 months
• Location: Remote, In-office
• Working Model: Flexible (remote and/or in-office as required)
• Full-Time/Part-Time: Full-time
• Start Date: May / June 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.

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 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.