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3D CAD modeling and Physics-based Simulation Internship

Siemens Electronic Systems Design & Manufacturing
INTERN Remote · US Princeton, NJ, Miami-Dade County, US USD 68640–97760 / month Posted: 2026-05-11 Until: 2026-07-10
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Job Description
Job ID 505253 Posted since 05-May-2026 Organization Foundational Technologies Field of work Internal Services Company Siemens Corporation Experience level Student (Not Yet Graduated) Job type Full-time Work mode Office/Site only Employment type Fixed Term Location(s) Princeton - New Jersey - United States of America 3D CAD modeling and Physics-based Simulation — Internship Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Transform the everyday with us! In this role, you will work on-site in Princeton, NJ. Are you ready to dive into the future of robotics and production? Our innovative research group at Siemens is seeking a passionate and driven intern to contribute to cutting-edge projects. This is a unique opportunity to apply your skills in 3D CAD modeling and physics simulations to real-world challenges, helping to shape the next generation of industrial automation. Join our research group, Automation Engineering Software, located in Princeton, NJ, for a 3-6 month internship, and contribute to the development and implementation of cutting-edge operations software solutions for industrial applications. Our close contact with different business units in Siemens provides the opportunity to contribute to and gain experience in real industrial challenges. During this internship, you will experience the excitement and challenges of industrial research. An internship with Siemens Technology is a great opportunity for students to gain real-world experience in a diverse work environment. Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated students. You will have the opportunity to test your knowledge in a challenging problem-solving environment. You will be encouraged to think out of the box, innovate and find solutions to real-life problems. Key Responsibilities Contribute to industrial research projects focused on digital twins and early simulation for robots and production lines. Design 3D CAD models with physics-based simulation capabilities using NX Design Center. Design and implement adaptive robot programs using Process Simulate. Learn to interface with NX Design Center and Process Simulate, using custom applications, public APIs, or existing product functionalities. Collaborate and exchange ideas with experts in industrial automation, operations software, and IT systems across Siemens research and business units. Basic Qualifications BS or MS student pursuing a degree in Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, or a closely related field. Experience with 3D simulation of robotics and/or full production lines in Technomatix Process Simulate Programming proficiency in C# .NET and Python, including experience writing clean, modular, reusable code. Proficiency in English, both written and verbal. Legally authorized to work in the United States for the duration of the internship Preferred Qualification Experience with 3D CAD modeling, preferably in NX Design Center Experience with 3D physics simulation, preferably in NX Mechatronics Concept Designer Experience with the Technomatix Process Simulate API Familiarity with motion path concepts in robot programs (e.g., FANUC LS) Understanding of IT systems, including concepts related to Docker, Kubernetes, virtual machines, or Proxmox. Familiarity with additional Siemens Digital Industries Software portfolio components such as Teamcenter. Experience with software development best practices: version control (Git), unit testing, and technical documentation. Flexibility and adaptability to work in a dynamic, interdisciplinary team of experts across industrial engineering, software development, and data science. A successful candidate must be able to work with controlled technology in accordance with US Export Control Law. US Export Control laws and applicable regulations govern the distribution of strategically important technology, services, and information to foreign nationals and foreign countries. Siemens may require candidates under consideration for employment opportunities to submit inf