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. 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. Currently enrolled as an undergraduate student at an accredited university Employee discounts at our top customer sites Networking with our global leaders Energetic student community Potential for full-time offers after university graduation and completion of the program Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales 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. 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. 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. Passion for applying emerging technologies to real-world engineering challenges. #LI-PLM #LI-Remote #The hourly pay range for this position $18 - $50 per hour, based off of your projected graduation year. 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. If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. Please note our AskHR representatives do not have visibility of application or interview status. Application Deadline California residents have the right to receive additional notices about their personal information. Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.
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- Dice Id: orcfeed
- Position Id: 24116_-4301978093244672534
- Posted 1 day ago
