Summer 2026 Agentic System Development Intern

Category Interns/Temp Hire Type Intern Job ID 15361 Base Salary Range $0-$0 Remote Eligible No Date Posted 03/02/2026

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:

• Assist in the development of AI/LLM features to solve engineering problems and enable natural language interaction with the Ansys Mechanical application. 
• Engage with a network of expert professionals to collaborate and accomplish development objectives.
• Investigate defects in production code to ensure high-quality software delivery.
• Develop unit tests for the developed features to maintain robust engineering standards.
• Analyze results and improve the usability of the software, enhancing user experience for next-generation products.

What You’ll Need:

• Currently pursuing a degree program in Computer Science, Artificial Intelligence, Mechanical, Aerospace, or a related engineering field.
• Experience with Large Language Models (LLM)
• Proficiency in scripting languages such as Python.
• Excellent analytical and algorithmic thinking skills. 
• Strong written and oral communication skills.
• Preferred: Experience with Microsoft Visual Studio, SVN/GIT, Github, and familiarity with C++, C#, Go, Rust, or Java. Background in Machine Learning with LLM concepts such as Retrieval Augmented Generation (RAG), Natural Language Processing, and Graph algorithms is a plus.

Key Program Facts:

• Program Length: 12 weeks
• Location: Canonsburg, PA
• Working Model: In-office  
• 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.