Simulation Workflow AI Agent Intern

Introduction:

At Synopsys, we 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:

Work closely with the MAPDL development team to test, validate, and benchmark AI agent capabilities for Ansys MAPDL simulation workflows. Transform traditional GUI-based simulation workflows into AI/LLM-driven workflows through prompt engineering and intelligent automation. Support simulation workflow validation, error handling, model abstraction, and model simplification. Evaluate how AI agents can support simulation model validation, live solution monitoring, troubleshooting, and intelligent workflow automation. Contribute to intelligent simulation diagnostics, input model checking, live and post-run observability, error detection, and hot-spot diagnosis. Evaluate third-party AI tools and APIs, such as ChatGPT, Claude, Gemini, Copilot, or similar platforms. Collaborate with MAPDL development teams and ACE teams across multiple geographies. Help drive Synopsys-Ansys innovation efforts by improving AI agent capabilities for engineering simulation workflows.

What You'll Need:

Currently pursuing a BS in Engineering, Computer Science, or a related technical field. Strong motivation to learn new simulation and AI technologies. Strong interest in AI/LLM-based prompt engineering, agentic workflows, and application automation. Proven ability to overcome obstacles and drive projects to completion. Strong analytical, problem-solving, and troubleshooting skills. Ability to work collaboratively across teams and geographies. Excellent communication skills and eagerness to learn in a fast-paced, innovative environment.

Key Program Facts:

Program Length:

4 months (June - October 2026)

Location:

Canonsburg, PA, USA Working Model:

In-office Full-Time/Part-Time:

Full-time (40 hours per week)

Start Date:

June 2026

Role and Program Overview:

This internship supports the development and validation of AI/LLM-driven simulation workflows for Ansys MAPDL. You'll focus on transforming simulation-context understanding, reasoning, summarization, model checking, solution observability, and error diagnosis into intelligent, AI-powered workflows. This is a unique opportunity to work at the intersection of engineering simulation and cutting-edge AI technology, contributing to the future of intelligent workflow automation in the engineering domain.

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.