Summer 2026 Intern - Digital Twin (MS/PhD)

Category Interns/Temp Hire Type Intern Job ID 13957 Base Salary Range $0-$0 Remote Eligible Yes Date Posted 14/01/2026

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:

• Investigate and develop new features for Digital Twin solutions, contributing to the next generation of simulation capabilities.
• Improve and extend DevOps infrastructure to support robust and scalable product development.
• Engage in software development across multiple programming languages, technology stacks, and operating systems.
• Participate in thorough testing and documentation to ensure high-quality deliverables.

What You’ll Need:

• Currently pursuing a MS or PhD in Computer Science, Computer Engineering, Information Science, or a related technical field, with a GPA of 3.0 or higher.
• Must be enrolled in a full-time degree program and planning to return to the program after the internship.
• Proven experience in software development with Python.
• Working knowledge of GIT for version control.
• Excellent software development, problem-solving, and collaboration skills.
• Responsible, motivated, and eager to work as part of a diverse team.
• Preferred: Experience with cloud-based technologies (REST, Docker, Kubernetes), basic software testing (unittests, smoke tests, black-box testing), and development experience with both Windows and Linux environments.

Key Program Facts:

• Program Length: 12 weeks, full-time (40 hours/week), running May 2026 to August 2026.
• Location: Canonsburg, PA, United States (Ansys HQ).
• Working Model: Remote or Hybrid (in-office required a few days per week).
• Full-Time/Part-Time: Full-Time.
• 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.