Job description

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. 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 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 frameworks 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 safe • Present and communicate ideas and project results 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 at 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 • 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 software 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, and sensor fusion • 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 resourceefficient 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 #RoboticsAI, #EmbodiedAI, #AIResearch You’ll Benefit From Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: benefitsquickstart.com The pay range for this position is $104,887 - $179,806 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 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 Transparency Siemens follows Pay Transparency laws. Application Deadline This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool. 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.

Requirements

Must-haves

Research Scientist – Embodied AI
Transform the everyday with us!
In this role you will work on-site in our Berkeley, CA office.
Architect robotic foundation models and lead the design of large-scale robot learning frameworks 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 safe
Present and communicate ideas and project results to internal and external project partners and at conferences
Ph.D. or M.Sc. in Computer Science, Electrical Engineering, Robotics, or similar from an accredited university
A proven track record of contributions at 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
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 software 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.
Expertise in 3D scene understanding, multimodal grounding, and sensor fusion
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

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Keywords to mirror

aipythonmachine learning

Platform: avature
Effort: medium

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