Strategic Student Program: AI & Engineering Data Internship (Spring 2027, GSCS)

Summary

Siemens Digital Industries Software is a global software company focused on computer-aided design, 3D modeling, and simulation for manufacturers. The AI & Engineering Data Intern will support Artificial Intelligence and Digital Thread initiatives by developing engineering datasets, evaluating AI-assisted workflows, building visualizations, and contributing to customer demonstrations and internal capabilities.

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

Skills

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

Qualifications

Must Haves

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

Nice to Haves

• Familiarity with digital engineering, PLM, or engineering data management concepts is a plus

Benefits

• 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
• Fully remote environment within the United States of America