Description
**Job Family:** Research & Predevelopment
**Req ID:** 499769
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:
+ Contributeto industrial research projects focused on data integration and modelingfor shop floor applications.
+ Exploreand implement strategies for integrating machines and devices on aproduction line into IT/OT systems (e.g., SCADA, MES, ERP) using SiemensIndustrial Edge.
+ Developand test data collection and aggregation methods from various shop floorsystems, including OEM hardware, robots, inspection systems, shop floorAI, and HMI systems.
+ Learnto interface with Operations Software, such as Siemens Opcenter X, usingcustom applications, public APIs, or existing product functionalities.
+ Analyzeand understand the interactions between different levels of the automationpyramid to design effective data integration strategies.
+ Collaborateand exchange ideas with experts in industrial automation, operationssoftware, and IT systems across Siemens research and business units.
Basic Qualifications:
+ MSor PhD student pursuing a degree in Computer Science, ElectricalEngineering, Industrial Engineering, Mechatronics, or a closely relatedfield.
+ Programmingproficiency in Python or similar languages — including experience writingclean, modular, reusable code.
+ Foundationalunderstanding of operations software concepts and their role inmanufacturing environments.
+ Familiaritywith data integration strategies and the importance of bringing the rightdata to the right system or person at the right time.
+ Hands-onexperience with data collection and aggregation from various industrialsources.
+ Proficiencyin English, both written and verbal.
+ Legallyresiding in the United States of America and hold a valid work permit forthe US.
Preferred Qualification:
+ Practicalexperience with Industrial Edge platforms or similar edge computingsolutions for industrial applications.
+ Familiaritywith the automation pyramid and how its various levels (e.g., control,SCADA, MES, ERP) interact.
+ Understandingof IT systems, including concepts related to Docker, Kubernetes, virtualmachines, or Proxmox.
+ Experiencewith Siemens Digital Industries Software portfolio components.
+ Knowledgeof industrial communication protocols (e.g., OPC UA, Modbus TCP).
+ Experiencewith software development best practices: version control (Git), unittesting (pytest), and technical documentation.
+ Flexibilityand adaptability to work in a growing, dynamic, interdisciplinary team ofexperts across industrial engineering, software development, and datascience.
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 (https://www.siemens.com/global/en/company.html) .
**Our Commitment to Equity and Inclusion in ourDiverse 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.
#LI-JS
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$32-$47
**Organization:** Foundational Technologies
**Job Type:** Full-time
**Category:** Internal Services
