Connecting Odds
Ansys

Agentic AI Internship

Ansys
Canonsburg, PAPosted 27 days agoDiscoveredMatch locked
Data and Analytics

Date posted

08/24/2026

Category

Interns/Temp

Hire Type

Intern

Job ID

18432

Base Salary Range

$0-$0

Remote Eligible

No

Date Posted

08/24/2026 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 developing AI/LLM features

to address engineering challenges and enable natural language interaction with the Ansys Mechanical application. •

Enhance coding agent workflows

by providing instructions and skills to help developers work faster and more efficiently. •

Collaborate with a network of expert professionals

to achieve development objectives and share innovative ideas. •

Investigate and resolve defects

in production code, ensuring high-quality software delivery. •

Develop unit tests

for new features and analyze results to improve software usability.

What You'll Need:

  • Currently pursuing a degree in

Computer Science, Artificial Intelligence, Mechanical, Aerospace, or a related engineering field

.

  • Experience with

Large Language Models (LLM)

.

  • Familiarity with

coding agents

such as GitHub Copilot for development purposes.

  • Proficiency in

scripting languages such as Python

.

  • Excellent

analytical and algorithmic thinking skills

.

  • Strong written and oral communication abilities .

Preferred Qualifications and Skills:

  • Experience with

Microsoft Visual Studio

and software configuration management tools (SVN, GIT) and GitHub.

  • Background in

Machine Learning

, including LLM concepts like Retrieval Augmented Generation (RAG), Natural Language Processing, and graph algorithms.

  • Good knowledge of at least one of the following programming languages:

C++, C#, Go, Rust, or Java

. Key Program Facts: •

Program Length

3 months •

Location

Canonsburg, PA •

Working Model

In-office •

Full-Time/Part-Time

Part-time, 20 hours per week

  • Start Date: September 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.

Not included in the source posting: about the role, what you'll do, benefits.

Skills

artificial-intelligencecllmgitgojavamachine-learningragrustpythonspark

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

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