AI/ML Research Scientist – Intelligent Systems for Engineering Design

At Siemens Foundational Technology Research and Pre-Development,we are a global technology powerhouse focused on industry, infrastructure, transport, and healthcare. Our Foundational Technology division drives innovation by developing cutting-edge technologies that shape the future of electrification, automation, and digitalization. We foster a culture of curiosity, collaboration, and continuous learning, empowering our teams to solve the world’s most complex challenges.

Transform the everyday with us

We are looking for a Research Scientist with expertise in AI and Machine learning technologies and a strong background in industrial applications. 

This position will be based on-site in Princeton, NJ.

Role Description

We are seeking a passionate and forward-thinking AI/ML Researcher with a strong track record in industrial applications to join our Foundational Technology team at Siemens, where you will help shape the future of intelligent systems in real-world environments.

In this role, you will play a pivotal part in driving the design and development of next-generation AI/ML solutions and intelligent system architectures that support Siemens’ strategic priorities in electrification, energy efficiency, and sustainability. You’ll have the opportunity to work hands-on with Siemens’ proprietary design and simulation platforms, gaining exposure to advanced tools that are accelerating innovation across industrial applications.

Key Responsibilities:

• Apply AI/ML techniques to engineering challenges in design, manufacturing, and simulation.
• Design and develop knowledge synthesis and reasoning frameworks for complex industrial systems.
• Contribute to the development of autonomous decision-making agents operating in dynamic and uncertain environments.
• Collaborate on fast-paced co-creation projects with evolving requirements, particularly in the areas of program analysis and synthesis.
• Engage in low Technology Readiness Level (TRL) research initiatives, exploring novel AI/ML concepts and methodologies.
• Build prototypes and proof-of-concept systems to validate research hypotheses and demonstrate feasibility.
• Develop technology demonstrators and support the transition of innovations into business units.
• Integrate AI/ML techniques to enhance device modeling, performance prediction, and reliability analysis in industrial contexts.
• Work closely with cross-functional teams to translate research outcomes into scalable, real-world technologies and commercial products.
• Publish high-impact research in peer-reviewed journals and present at leading international conferences.
• Evaluate and benchmark emerging technologies, contributing to Siemens’ intellectual property portfolio.
• Support the technology transfer process, ensuring smooth integration of research outputs into product development pipelines.

You’ll win us over by having the following qualifications:

Basic Qualifications:

•  PhD graduate in Computer Science, Electrical Engineering, Mechanical Engineering or other related disciplines.
•  Minimum of 2 years of research or development experience in industrial area, including doctoral-level research.
•  Legally authorized to work in the United States without company sponsorship now or in the future
•  Excellent command of English, with demonstrated ability in technical writing, documentation, and collaboration within multidisciplinary research environments.
• Technical Expertise:
  • Minimum 2 years of research experience applying AI/ML techniques to engineering applications, including design, manufacturing, and simulation.
  • At least 2 years of experience in decision-making methodologies, such as reinforcement learning and AI planning.
  • Proven domain expertise in one or more of the following: Electrical Design, Mechanical Design, or Systems Engineering.
  • Hands-on experience with graph-structured data and associated algorithms for representation, analysis, and learning.
  • Proficiency in Python, with practical knowledge of deep learning frameworks such as PyTorch.
  • Strong communication and presentation skills, capable of conveying complex technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications:  

• Experience with large-scale reasoning models, particularly those capable of operating across multiple modalities such as text, code, and graph data, is considered an asset.
• Minimum 4+ years of research experience applying AI/ML techniques to engineering applications, including design, manufacturing, and simulation.
• At least 4+ years of experience in decision-making methodologies, such as reinforcement learning and AI planning.
• Familiarity with Siemens design tools, such as NX, Team Center, Expedition, and Caliber, with a demonstrated track record of user experience and practical application
• A track record of peer-reviewed publications or granted patents in power electronics design or AI/ML applications in device engineering.

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.

Siemens Corporation is a U.S. subsidiary of Siemens AG, a leading technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to cleaner and more comfortable transportation as well as advanced healthcare, the company creates technology with purpose adding real value for customers. By combining the real and the digital worlds, Siemens empowers its customers to transform their industries and markets, helping them to transform the everyday for billions of people. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a globally leading medical technology provider shaping the future of healthcare. In fiscal 2023, which ended on September 30, 2023, the Siemens Group USA generated revenue of $19.9 billion and employs approximately 45,000 people serving customers in all 50 states and Puerto Rico.

Our Commitment to Diversity, Equity, and Inclusion:

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. Come bring your authentic self and create a better tomorrow with us. Learn more about our commitment to DEI here.

Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy.

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