Strategic Student Program: AI Software Engineer Intern (Fall 2026; EBS) [Remote]

Siemens Industry Software Inc.

Strategic Student Program (SSP)

Discover your career with us at Siemens Industry Software!

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation - helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.

We're currently recruiting students for our Fall 2026 Strategic Student Program. Our intern positions will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.

Siemens EDA has an opportunity for an AI/ML Software Engineer Intern. The AI/ML Software Engineer Intern will be part of our Office of Technology group, contributing to innovative research and development in Artificial Intelligence and Machine Learning. The intern will gain hands-on experience building intelligent systems, developing AI agents, and applying data-driven techniques to real-world EDA challenges.

The ideal candidate will have skills in Python, JAVA, C# or C++, and will also have a good understanding of AI/ML concepts.

Primary Responsibilities

• Collect, clean, and preprocess large datasets, including structured and unstructured EDA-related data for analysis using various tools and programming languages such as Python.
• Assist in the development and implementation of machine learning models and algorithms, including LLMs, classification, and regression models to extract meaningful insights from data.
• Develop MCP Servers and Agents for the identified functionality
• Create data visualizations and dashboards to communicate findings and insights effectively.
• Stay up to date with the latest advancements and best practices in data science and analytics.

Qualifications

• Currently pursuing a bachelor's or master's degree in data science, Computer Science, Statistics, Mathematics, or a related field.
• Strong knowledge of programming languages such as Python, JAVA or C++/C#.
• Exposure to or interest in AI agent frameworks, LLMs, or prompt engineering is a plus
• Basic understanding of statistical concepts and techniques.
• Excellent problem-solving and analytical skills with keen attention to detail.
• Effective communication and collaboration skills, with the ability to work both independently and in a team environment.
• Passion for AI/ML and a desire to contribute to innovative, real-world applications.

Details regarding our benefits can be found here: In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave and paid volunteer time off.

LI-EDA

LI-Hybrid

You'll Benefit From

The hourly pay range for this position 18 - 50 per hour, based off of your projected graduation year. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Additionally, interns for Siemens are eligible to contribute into our 401K program.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

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Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

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Criminal History

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.