Siemens · 5 hours ago
Industrial Generative/Physical AI - Research Intern
Princeton, NJ
Internship
Hybrid
Intern
$35/hr - $47/hrSiemens is a global technology company focused on industry, infrastructure, transport, and healthcare. They are seeking a Research Intern to conduct applied research on Industrial Generative AI or Physical AI, contributing to R&D projects and creating technical reports and presentations.
Artificial Intelligence (AI)ConsultingCyber SecurityInternet of Things
Responsibilities
Conduct applied research on Industrial Generative AI or Physical AI with a focus on one or more of the following topic areas:
Time-series foundation models
Transformer-based models for sequential decision-making optimization
Agentic AI, with focus on AI memory and learning agents
Advance physics-informed machine learning by designing transformer-based architectures for encoding complex geometries and topologies
AI-native chip design
Design, develop and implement (research) prototypes and demonstrators under the guidance of your supervisor
Contribute to our team’s R&D projects
Create technical reports, presentations and ideally publish a scientific paper detailing the outcomes of your research with our team
Qualification
Required
Currently pursuing a research-focused MS or a PhD degree in Electrical Engineering, Computer Science, Mathematics, Physics, or other from an accredited university
Demonstrated Experience publishing and writing scientific papers (e.g. NeurIPS, ICML, IEEE, AAAI, L4DC)
Demonstrated ability to work with Python and PyTorch
Proficient in English both written and verbal
Excellent communication skills, eager to learn and be part of a diverse team
Preferred
Previous experience in one or more of the following is desirable: Design, training and evaluation of foundation models and/or transformer-based ML models
RL-based post-training of foundation models
RL-based or metaheuristic-based sequential decision-making optimization
Data analytics application to power systems use cases
Physics-informed neural networks, Graph Neural Networks or Geometric Deep Learning
Designing, implementing and evaluating large-scale Agentic AI systems
Methods for uncertainty quantification in neural networks
Preferably graduating within the next 12 months and considering a career in industrial R&D
Company
Siemens
Siemens empowers customers to transform the industries that form the backbone of economies: industry, transportation, buildings and grids.
Founded in 1847
10001+ employees
H1B Sponsorship
Siemens has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (20)
2024 (26)
2023 (24)
2022 (26)
2021 (37)
2020 (36)
Funding
Current Stage
Public CompanyTotal Funding
$7.01BKey Investors
US Department of Energy
2025-02-20Post Ipo Equity· $1.5B
2024-09-17Grant· $1.5M
2024-09-04Post Ipo Debt· $332.4M
Leadership Team
Cedrik Neike
CEO Digital Industries
Nicola Bates
President and CEO of Siemens Capital
Recent News
Portugal News
2026-02-05
UAE Business Review
2026-02-04
Company data provided by crunchbase