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 fascinated by the cutting-edge applications of AI in the industrial world, from smart factories to advanced visual inspection? Do you want to contribute to the next generation of intelligent industrial systems? 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 deployment of innovative AI and vision 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 AI and computer vision for various applications, such as visual inspection, predictive maintenance, and autonomous systems. • Develop and implement AI models, including deep learning architectures, for image and video analysis in industrial settings. • Work with real-world industrial datasets, including multi-modal data, to train, validate, and deploy AI solutions. • Explore and experiment with different AI paradigms, from traditional machine learning to agentic systems and Large Language Models (LLMs), for industrial use cases. • Collaborate and exchange ideas with experts in AI, computer vision, and industrial automation across Siemens research and business units. Basic Qualifications: • MS or PhD student pursuing a degree in Computer Science, Electrical Engineering, Robotics, Applied Mathematics, or a closely related field. • Programming proficiency in Python — including experience writing clean, modular, reusable code and working with AI/ML libraries such as TensorFlow, PyTorch, or Keras. • Foundational knowledge of modern AI systems architectures and deployment strategies for industrial applications. • Hands-on experience working with real-world data, including data preprocessing, feature engineering, and model training. • 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 computer vision, including object detection, segmentation, classification, or anomaly detection. • Familiarity with agentic systems, reinforcement learning, or the application of Large Language Models (LLMs) in industrial contexts. • Experience with multi-modal data processing and fusion (e.g., combining visual data with sensor data). • Experience with cloud platforms (e.g., AWS, Azure, GCP) for AI model deployment and MLOps. • Familiarity with industrial communication protocols or embedded systems for edge AI deployments. • 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 AI, computer vision, and industrial engineering. 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. $32-$47