Research Scientist - Embodied AI

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.

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