Research Scientist - Embodied AI
Job ID 504246
Posted since 27-Apr-2026
Organization Foundational Technologies
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
Locations Berkeley - California - United States of America
Research Scientist - Embodied AI
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. Thats 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 our Berkeley CA office.
We are looking for a Research Scientist who will advance how intelligent robotic systems perceive act and adapt in the physical world. In our research group we are pioneering the next generation of embodied AI integrating multimodal foundation models robot learning architectures and real-world deployment to solve manipulation planning and simulation challenges in industrial applications. We work in collaboration with our business units leading academic institutions and government agencies.
The Challenge
Architect robotic foundation models and lead the design of large-scale robot learning architectures tailored for industrial manipulation and autonomous planning
Build full-stack training pipelines for robotics applications integrating multi-modal inputs and ensuring reproducibility
Advance data collection strategies to support model training and validation
Bridge the sim-to-real gap for embodied AI systems utilizing simulation frameworks
Create scalable inference loops that combine perception with real-time motion control and on-robot deployment
Work alongside cross-functional teams to turn research prototypes into deployable robotics systems that are robust and safety
Present and communicate project results and ideas to internal and external project partners and at conferences
The Candidate
Required Qualifications
Ph.D. or M.Sc. in Computer Science Electrical Engineering Robotics or similar from an accredited university
A proven track record of contributions to top-tier robotics and AI venues such as IROS ICRA RSS CoRL etc
Professional-level fluency in C and Python
Proven experience in building and deploying machine learning models on robotic systems including training evaluation and integration with real platforms
Deep technical knowledge of modern model architectures specifically Transformers VLAs VLMs and Diffusion Models with experience in large-scale training
Hands-on experience implementing debugging and deploying machine learning models on physical robotic platforms
Solid understanding of embedded systems hardware software integration and OS fundamentals
Proficiency in English both written and verbal
Legally authorized to work in the United States without corporate sponsorship now or in the future.
Preferred skills & experience
Expertise in 3D scene understanding multimodal grounding or sensor fusion Depth Force
Familiarity with simulation environments such as Isaac Sim Mujoco or Gazebo and demonstrated experience with sim-to-real transfer strategies
Working knowledge of robotics middleware ROS ROS2 and integration of machine learning components into real-time robotic stacks
Experience in building or adapting foundation models for embodied tasks RFMs VLMs VLAs multimodal diffusion
Experience with cloud computing environments
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.
LI-JS LI-Onsite Robotics AI EmbodiedAI AIResearch
Youll Benefit From
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here httpswww.benefitsquickstart.comsiemensindex.html
The pay range for this position is 104887 - 179806 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 Statement
Siemens 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 Law
Applicants 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 Accommodations
If 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 youre 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 Transparency
Siemens 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 504246
Posted since 27-Apr-2026
Organization Foundational Technologies
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
Locations Berkeley - California - United States of America
Research Scientist - Embodied AI
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. Thats 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 our Berkeley CA office.
We are looking for a Research Scientist who will advance how intelligent robotic systems perceive act and adapt in the physical world. In our research group we are pioneering the next generation of embodied AI integrating multimodal foundation models robot learning architectures and real-world deployment to solve manipulation planning and simulation challenges in industrial applications. We work in collaboration with our business units leading academic institutions and government agencies.
The Challenge
Architect robotic foundation models and lead the design of large-scale robot learning architectures tailored for industrial manipulation and autonomous planning
Build full-stack training pipelines for robotics applications integrating multi-modal inputs and ensuring reproducibility
Advance data collection strategies to support model training and validation
Bridge the sim-to-real gap for embodied AI systems utilizing simulation frameworks
Create scalable inference loops that combine perception with real-time motion control and on-robot deployment
Work alongside cross-functional teams to turn research prototypes into deployable robotics systems that are robust and safety
Present and communicate project results and ideas to internal and external project partners and at conferences
The Candidate
Required Qualifications
Ph.D. or M.Sc. in Computer Science Electrical Engineering Robotics or similar from an accredited university
A proven track record of contributions to top-tier robotics and AI venues such as IROS ICRA RSS CoRL etc
Professional-level fluency in C and Python
Proven experience in building and deploying machine learning models on robotic systems including training evaluation and integration with real platforms
Deep technical knowledge of modern model architectures specifically Transformers VLAs VLMs and Diffusion Models with experience in large-scale training
Hands-on experience implementing debugging and deploying machine learning models on physical robotic platforms
Solid understanding of embedded systems hardware software integration and OS fundamentals
Proficiency in English both written and verbal
Legally authorized to work in the United States without corporate sponsorship now or in the future.
Preferred skills & experience
Expertise in 3D scene understanding multimodal grounding or sensor fusion Depth Force
Familiarity with simulation environments such as Isaac Sim Mujoco or Gazebo and demonstrated experience with sim-to-real transfer strategies
Working knowledge of robotics middleware ROS ROS2 and integration of machine learning components into real-time robotic stacks
Experience in building or adapting foundation models for embodied tasks RFMs VLMs VLAs multimodal diffusion
Experience with cloud computing environments
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.
LI-JS LI-Onsite Robotics AI EmbodiedAI AIResearch
Youll Benefit From
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here httpswww.benefitsquickstart.comsiemensindex.html
The pay range for this position is 104887 - 179806 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 Statement
Siemens 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 Law
Applicants 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 Accommodations
If 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 youre 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 Transparency
Siemens 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.