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Descripción del puesto:
Operations Software & Industrial Edge 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. Who knows where our shared journey will take you?
Transform the everyday with us!
In this role you will work on-site in Princeton, NJ.
Are you passionate about bridging the gap between the shop floor and the IT systems that drive a digital factory? Do you want to dive into the world of data integration and operations software to unlock the full potential of industrial machines? Here's the right internship opportunity for you!
Join our research group, Autonomous Control and Operations, 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. Our team has a strong publication record in leading journals and conferences.
Key responsibilities:
* Contribute to industrial research projects focused on data integration and modeling for shop floor applications.
* Explore and implement strategies for integrating machines and devices on a production line into IT/OT systems (e.g., SCADA, MES, ERP) using Siemens Industrial Edge.
* Develop and test data collection and aggregation methods from various shop floor systems, including OEM hardware, robots, inspection systems, shop floor AI, and HMI systems.
* Learn to interface with Operations Software, such as Siemens Opcenter X, using custom applications, public APIs, or existing product functionalities.
* Analyze and understand the interactions between different levels of the automation pyramid to design effective data integration strategies.
* Collaborate and exchange ideas with experts in industrial automation, operations software, and IT systems across Siemens research and business units.
Basic Qualifications:
* MS or PhD student pursuing a degree in Computer Science, Electrical Engineering, Industrial Engineering, Mechatronics, or a closely related field.
* Programming proficiency in Python or similar languages - including experience writing clean, modular, reusable code.
* Foundational understanding of operations software concepts and their role in manufacturing environments.
* Familiarity with data integration strategies and the importance of bringing the right data to the right system or person at the right time.
* Hands-on experience with data collection and aggregation from various industrial sources.
* Proficiency in English, both written and verbal.
* Legally residing in the United States of America and hold a valid work permit for the US.
Preferred Qualification:
* Practical experience with Industrial Edge platforms or similar edge computing solutions for industrial applications.
* Familiarity with the automation pyramid and how its various levels (e.g., control, SCADA, MES, ERP) interact.
* Understanding of IT systems, including concepts related to Docker, Kubernetes, virtual machines, or Proxmox.
* Experience with Siemens Digital Industries Software portfolio components.
* Knowledge of industrial communication protocols (e.g., OPC UA, Modbus TCP).
* Experience with software development best practices: version control (Git), unit testing (pytest), and technical documentation.
* Flexibility and adaptability to work in a growing, 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 information regarding citizenship status to allow the organization to comply with specific US Export Control laws and regulations. Additional information on the US Export Control laws & regulations can be found on https://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs
About Siemens:
We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here.
Our Commitment to Equity and Inclusion in our Diverse Global Workforce:
We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.
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| Origen: | Web de la compañía |
| Publicado: | 21 Mar 2026 (comprobado el 23 Mar 2026) |
| Tipo de oferta: | Prácticas |
| Sector: | Conglomerado |
| Duración: | 6 meses |
| Idiomas: | Inglés |
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