Machine Learning for Electronics Design Automation -Internship

Job Description

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. We are looking for a talented intern who would like to join our Design and Representation Systems Research Group of the “Simulation and Digital Twin” Technology field for an internship in Spring 2026.

We need your help to conduct fundamental and applied research in the field of understanding engineering decisions for complex systems. You will be collaborating with leading academic institutions and government agencies as part of this role. Our goal is to model how engineers understand and solve the most complex design challenges by leveraging AI techniques and mimic human reasoning capabilities!

Transform the Everyday with us!

In this role you will work remotely from a home office. 

Job responsibilities:

During this internship, the candidate will experience the excitement and challenges of industrial research and be part of a world class team. This person will:

• Contribute to the task of developing machine learning algorithms for electronics design automation.
• Work on the task of accelerating physical design, testing, and verification using AI/ML techniques.
• Work on fast-paced co-creation projects with quickly changing requirements in the field at the intersection of machine learning and EDA.
• Work on low-TRL research projects.
• Work with Siemens software products (e.g., Calibre, Tessent, etc.) to develop demonstrators and participate in technology transition to Siemens’ businesses.
• Develop demonstrators and participate in technology transition to business.
• Create technical reports.
• Create academic publications.

Basic Qualifications

• PhD students (currently enrolled in school) in Electrical Engineering, Computer Science, or other from an accredited university.
• Research specialization in the application of AI/ML for EDA.
• Research specialization in the field of physical verification and design for testing.
• Research specialization in graph neural networks and generative models.
• Familiar with integration of graph neural network for EDA applications.
• Proficiency in python, PyTorch and PyG.
• Proficiency in English both written and verbal
• Legal authorization to work in the United States without corporate sponsorship now or in the future.

About Our Research Group

We want to provide our customers with Innovative Design solutions and propose intelligent representations for faster and smarter design, engineering, and manufacturing systems. Our team is to become the perfect companions for engineers in need to accelerate by 1000x their workflows. Our mission is to free engineers from the burden of repetitive and non-creative tasks and allow them to truly explore the immensity of their design spaces, efficiently and with confidence in the results. We want to be “Your cognitive twin”, enabling machines to reason and make decisions autonomously. 

Our research team is located in beautiful Princeton, NJ, a university town packed with exceptional international talent that provides a unique feel of this true cultural gem in the state. The town has plenty of activities to offer, but for those looking for more, at just about 1h drive we have NYC or Philadelphia. We have the best public schools in the country and all of the above glued together by a very active and welcoming community. 

As Siemens’ central Research & Development department, we embrace this community. Our core mission is to support our Siemens business units as a central knowledge hub for all cybersecurity capabilities globally. We research and develop new and innovative solutions, based on much needed deep technical expertise, and our network with internal and external experts and academia. This allows us to invent new solutions and approaches and verify their feasibility in the “real world” together with the product development teams of our business units – creating a stimulating setup for quick innovation cycles and rapid prototyping.

We also offer a generous remote working environment as well as robust health and wellness benefits to promote healthy living and support the best lifestyle for you and your family. 

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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