Strategic Student Program: AI & Engineering Data Internship GSCS

Siemens Digital Industries Software

Strategic Student Program (SSP)

Discover your career with us at Siemens Digital Industries 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 co-ops and interns for our Spring 2027 Strategic Student Program . Our opportunities 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.

Baseline Program Requirements:

• Currently enrolled as an undergraduate student at an accredited university
• Legally authorized to work in the United States without the need for current or future sponsorship by the company
• A minimum 3.0 GPA

Perks:

• Employee discounts at our top customer sites
• Networking with our global leaders
• Mentorship from senior employees
• Individual career development planning
• Professional and technical workshops
• Paid volunteer time off
• Energetic student community
• Leadership opportunities
• Potential for full-time offers after university graduation and completion of the program

Position Overview:

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital Pre Sales organization. This role provides hands-on experience applying AI technologies to engineering challenges across aerospace, defense, and automotive industries.

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and support projects that demonstrate how Digital Threads enable intelligent decision-making throughout the product lifecycle. The role combines engineering, software, data management, and AI technologies to develop innovative customer-facing demonstrations and internal capabilities.

Key Responsibilities:

• Develop and curate engineering datasets for AI, analytics, and demonstration use cases.
• Support AI and generative AI proof-of-concepts involving engineering and Digital Thread data.
• Assist in connecting systems, software, and electrical engineering information into reusable data models.
• Evaluate and document AI-assisted engineering workflows and use cases.
• Build dashboards, reports, and visualizations that communicate engineering insights.
• Support technical enablement activities and customer demonstration development.

Requirements :

• Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial
• Comfortable working in a fully remote environment within the United States of America.
• Intelligence, Software Engineering, Systems Engineering, or a related discipline.
• Experience with Python, data analytics, machine learning, or AI technologies.
• Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.
• Strong communication, collaboration, and problem-solving skills.
• Passion for applying emerging technologies to real-world engineering challenges.

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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,…