Power System Design for AI Datacenter Internship

Power System Design for AI Datacenter — 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 thrive 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?

Are you interested in developing new power system simulation and optimization tools for real industrial AI datacenter applications? Here's the right internship opportunity for you!

Join our research group, Autonomous Controls and Operations, located in Princeton, NJ, for a 3-6 month internship, and contribute to the development of power system for AI datacenter. Our close contact with different business units in Siemens provides the opportunity to contribute to and gain experience in real industrial applications. 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.

In this role, you will work on-site in Princeton, NJ.

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.

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Key responsibilities:

• Contribute to industrial research projects on power system simulation and optimization for AI datacenter
• Implement and validate AC and DC power flow solvers using custom Python solvers
• Develop and maintain the asset performance library
• Contribute to the AI GPU load profile engine — including burst event detection, synthetic load profile generation, and workload classification algorithms
• Collaborate and exchange ideas with experts in the fields of power systems, control, and optimization across Siemens research and business units

Basic Qualifications:

• MS or PhD student pursuing a degree in Electrical Engineering, Power Systems Engineering, Computer Science, Applied Mathematics, or a closely related field
• Programming in Python — including experience working with scientific computing libraries such as NumPy, SciPy, and pandas
• Foundational knowledge of power systems — including AC/DC circuit analysis, load flow concepts, and basic generator operation principles
• Familiarity with optimization concepts — linear programming, mixed-integer programming, or energy system dispatch optimization
• 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 in research on power systems simulation or optimization including Optimal power flow (OPF), AC/DC load flow, Unit commitment & dispatch
• Hands-on experience with power system optimization tools such as pandapower, PyPSA, PYPOWER, GridCal, EGRET
• Good programming knowledge and experience writing clean, modular, reusable, well-documented code
• Familiarity with microgrid design, islanded power system operation, or datacenter power infrastructure
• Experience with machine learning or data-driven load forecasting using scikit-learn, PyTorch, or similar frameworks
• 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 power 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

About Siemens:

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resourceefficient 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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