Research Scientist, Physics x AI Job ID 513444 Posted since 09-Jul-2026 Organization Data & Artificial Intelligence Field of work Research & Development Company Siemens Corporation Experience level Mid-level Professional Job type Full-time Work mode Office/Site only Employment type Permanent Location(s) Princeton - New Jersey - United States of America Research Scientist, Physics x AIHere 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 onsite in our Princeton, NJ office.We are an AI research Lab specializing in Physics x AI research. Our mission is to scale the capabilities of AI in the physical domain, encoding diverse scientific and engineering knowledge into neural networks to tackle complex, high-impact industrial and scientific problems. As an integral part of Siemens' Data Analytics & AI organization, we drive physical AI innovation for an industrial scale.Our team is part of Siemens Technology, Siemens' central in-house research department. It acts as a strategic partner to support our executive units with R&D and innovation services, protects the company's intellectual property, coordinates collaborations with top universities worldwide, and supports standardization activities in all business units and regions.As a Physics x AI Research Scientist, you will explore and build the next generation of scalable, generalizable physics-aware foundation models. We actively welcome candidates from a broad range of backgrounds-including fluid dynamics, electromagnetics, electrical engineering, systems engineering, and biological domains such as protein folding-who are passionate about encoding physical, biological, or engineering priors into modern AI systems. You'll focus on architectures (especially transformers) that move beyond the limitations of narrow, hard-coded models into robust solutions that generalize across geometries, conditions, and disciplines.Your future impact areas may include:Systems engineering and verification workflows (from design through manufacturing)AI-native electronic design automation (EDA) and chip designAny other discipline where physical or biological priors in AI can bring breakthrough scale and generalizationA research scientist in our team will:Translate business needs into actionable project proposal, negotiate project terms and budgetSteer delivery of complex, multi-national, strategic projects in cooperation with stakeholders and the project teamValidate the market potential of new AI innovation and develop business models for products, services, and solutions.Drive ideas from ideation to productization with a customer mindsetOwn global Siemens cross-company technology roadmaps and shape the interfaces to other technologiesWork with our U.S.-based and global research groups to proactively shape the strategy of our AI research and pre-development operation in the S.Shape the subsidies and grants portfolio for our AI research and pre-development in the U.S.Communicate complex technology topics to non-experts and executive decision-makerConduct hands-on research and development scalable, physics-aware foundation modelsModel and encode knowledge from diverse scientific and engineering domains - including but not limited to fluid dynamics, electromagnetics, electrical engineering, biology/protein folding (excluding quantum science)Document and publish research, and present proposals and results confidently to both internal and external large audiencesProactively engage with Siemens domain experts, their customers and partners to understand real-world problems, collect requirements, and co-create innovative solutionsTranslate cutting-edge research into industrial impact, including proof-of-concept projects, identifying and closing research gapsIdentify, adopt, and apply evolving trends in machine learning, physics-informed AI, and AI for scienceCollaborate with our interdisciplinary Princeton-based lab and contribute to Siemens' global Data Analytics & AI networkBasic Qualifications:Master's degree with relevant research/industry experience or a PhD degree in a STEM field, i.e. Computer Science, Physics, Applied Mathematics, Electrical Engineering, Mechanical Engineering, Biophysics, Bioinformatics, or similar.Established track record of publication or patent applicationsProficiency in one or more modern programming languages, i.e. Python, C++Experience with one or more of the following AI programming libraries: PyTorch, JAX, NVIDIA NeMO, HF TransformersProficiency in English both written and verbalAuthorized to work in the United States without Corporate Sponsorship now or in the future (current Siemens employees on visa will be considered)Successful candidates must be able to work with controlled technology in accordance with U.S. Export Control Law. U.S. 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 U.S. Export Control laws and regulations.Preferred Qualifications:Proven ability to translate ideas from state-of-the-art research into real-world/business impactDemonstrated research background with strong publication record (e.g. NeurIPS, ICML, IEEE, AAAI, L4DC) or equivalent industrial research achievements in industrial AI, physics-informed AI, physical AI and/or AI for scienceDemonstrated ability to training neural architectures capable of learning and/or encoding priors from physics, chemistry, biology and/or engineeringExperience with large-scale, distributed AI/foundation model trainingFundamental knowledge of software engineering principles and modern software development methodologiesEagerness and ability to present research proposals and results confidently to large, diverse technical and business audiencesFamiliarity with AI-based surrogate modelling for CFD, AI-native chip design, protein folding, or verification workflowsDomain Knowledge and/or experience in the fields of Predictive Maintenance for Industrial Infrastructure, Automation Engineering, Manufacturing, or Electrification are a plusExperience participating in international project teams and strong customer orientationProven track record of successfully responding to U.S. government grants is a plusStrong knowledge of the Siemens product portfolio is a plusAdditional language skills, in particular German, are a plus.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.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.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. #AIforScience #IndustrialAI #MachinelearningResearch #PhysicsinformedAI#LI-JS#LI-Onsite You'll Benefit FromSiemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.htmlThe pay range for this position is $126,307 - $216,526 annually with a target incentive of 10% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Equal Employment Opportunity StatementSiemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the LawApplicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. Reasonable AccommodationsIf you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status. Pay TransparencySiemens follows Pay Transparency laws. California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, click here.Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws. Job ID 513444 Posted since 09-Jul-2026 Organization Data & Artificial Intelligence Field of work Research & Development Company Siemens Corporation Experience level Mid-level Professional Job type Full-time Work mode Office/Site only Employment type Permanent Location(s) Princeton - New Jersey - United States of America Research Scientist, Physics x AIHere 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 onsite in our Princeton, NJ office.We are an AI research Lab specializing in Physics x AI research. Our mission is to scale the capabilities of AI in the physical domain, encoding diverse scientific and engineering knowledge into neural networks to tackle complex, high-impact industrial and scientific problems. As an integral part of Siemens' Data Analytics & AI organization, we drive physical AI innovation for an industrial scale.Our team is part of Siemens Technology, Siemens' central in-house research department. It acts as a strategic partner to support our executive units with R&D and innovation services, protects the company's intellectual property, coordinates collaborations with top universities worldwide, and supports standardization activities in all business units and regions.As a Physics x AI Research Scientist, you will explore and build the next generation of scalable, generalizable physics-aware foundation models. We actively welcome candidates from a broad range of backgrounds-including fluid dynamics, electromagnetics, electrical engineering, systems engineering, and biological domains such as protein folding-who are passionate about encoding physical, biological, or engineering priors into modern AI systems. You'll focus on architectures (especially transformers) that move beyond the limitations of narrow, hard-coded models into robust solutions that generalize across geometries, conditions, and disciplines.Your future impact areas may include:Systems engineering and verification workflows (from design through manufacturing)AI-native electronic design automation (EDA) and chip designAny other discipline where physical or biological priors in AI can bring breakthrough scale and generalizationA research scientist in our team will:Translate business needs into actionable project proposal, negotiate project terms and budgetSteer delivery of complex, multi-national, strategic projects in cooperation with stakeholders and the project teamValidate the market potential of new AI innovation and develop business models for products, services, and solutions.Drive ideas from ideation to productization with a customer mindsetOwn global Siemens cross-company technology roadmaps and shape the interfaces to other technologiesWork with our U.S.-based and global research groups to proactively shape the strategy of our AI research and pre-development operation in the S.Shape the subsidies and grants portfolio for our AI research and pre-development in the U.S.Communicate complex technology topics to non-experts and executive decision-makerConduct hands-on research and development scalable, physics-aware foundation modelsModel and encode knowledge from diverse scientific and engineering domains - including but not limited to fluid dynamics, electromagnetics, electrical engineering, biology/protein folding (excluding quantum science)Document and publish research, and present proposals and results confidently to both internal and external large audiencesProactively engage with Siemens domain experts, their customers and partners to understand real-world problems, collect requirements, and co-create innovative solutionsTranslate cutting-edge research into industrial impact, including proof-of-concept projects, identifying and closing research gapsIdentify, adopt, and apply evolving trends in machine learning, physics-informed AI, and AI for scienceCollaborate with our interdisciplinary Princeton-based lab and contribute to Siemens' global Data Analytics & AI networkBasic Qualifications:Master's degree with relevant research/industry experience or a PhD degree in a STEM field, i.e. Computer Science, Physics, Applied Mathematics, Electrical Engineering, Mechanical Engineering, Biophysics, Bioinformatics, or similar.Established track record of publication or patent applicationsProficiency in one or more modern programming languages, i.e. Python, C++Experience with one or more of the following AI programming libraries: PyTorch, JAX, NVIDIA NeMO, HF TransformersProficiency in English both written and verbalAuthorized to work in the United States without Corporate Sponsorship now or in the future (current Siemens employees on visa will be considered)Successful candidates must be able to work with controlled technology in accordance with U.S. Export Control Law. U.S. 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 U.S. Export Control laws and regulations.Preferred Qualifications:Proven ability to translate ideas from state-of-the-art research into real-world/business impactDemonstrated research background with strong publication record (e.g. NeurIPS, ICML, IEEE, AAAI, L4DC) or equivalent industrial research achievements in industrial AI, physics-informed AI, physical AI and/or AI for scienceDemonstrated ability to training neural architectures capable of learning and/or encoding priors from physics, chemistry, biology and/or engineeringExperience with large-scale, distributed AI/foundation model trainingFundamental knowledge of software engineering principles and modern software development methodologiesEagerness and ability to present research proposals and results confidently to large, diverse technical and business audiencesFamiliarity with AI-based surrogate modelling for CFD, AI-native chip design, protein folding, or verification workflowsDomain Knowledge and/or experience in the fields of Predictive Maintenance for Industrial Infrastructure, Automation Engineering, Manufacturing, or Electrification are a plusExperience participating in international project teams and strong customer orientationProven track record of successfully responding to U.S. government grants is a plusStrong knowledge of the Siemens product portfolio is a plusAdditional language skills, in particular German, are a plus.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.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.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. #AIforScience #IndustrialAI #MachinelearningResearch #PhysicsinformedAI#LI-JS#LI-Onsite You'll Benefit FromSiemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.htmlThe pay range for this position is $126,307 - $216,526 annually with a target incentive of 10% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Equal Employment Opportunity StatementSiemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the LawApplicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. Reasonable AccommodationsIf you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status. Pay TransparencySiemens follows Pay Transparency laws. California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, click here.Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.