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:

• Participate in the creation and validation of Digital Twin models for simulation and deployment.
• Assist in the research and development of innovative solutions for efficient Digital Twin simulation, validation, and deployment using Twin Builder.
• Test and validate the Digital Twin simulation engine to ensure robust performance and accuracy.
• Contribute to the creation of technical documentation and tutorials to support users and internal teams.

What You’ll Need:

• Currently pursuing a MS in Computer Science or related technical field with a GPA of 3.0 or higher.
• Must be enrolled in a full-time degree program and returning to the program after completing the internship.
• Experience with HTML5, JavaScript (ES5/ES6), TypeScript and CSS3.
• Programming proficiency in Python, and exposure to Java or C++.
• Experience with automation testing scripts using Python.
• Strong problem-solving skills, responsibility, and motivation as a team player.

Preferred Qualifications:

• Familiarity with modular frontend development and experience with Vue.js or React.
• 2+ years of software development experience.
• Knowledge of software testing basics (e.g., unit testing, blackbox testing).
• Experience with Docker management (creation, maintenance, deployment).
• Background in developing IoT or SmartHome applications.
• Understanding of the development process, including specification, documentation, and quality assurance.

Key Program Facts:

• Program Length: 3 months (May 2026 – August 2026)
• Location: Hybrid – Canonsburg, PA (onsite and remote options available)
• Working Model: Approximately 50% remote / 50% onsite, subject to team requirements
• Full-Time/Part-Time: Full-Time (40 hours/week)
• Start Date: May 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.