Physical AI Internship

Descrizione del lavoro:

Physical AI Internship

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!
This position will be based on-site in Berkeley, CA. We will consider J-1 International students for this position.

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.
Required Qualifications
* PhD or MS student in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a closely related discipline from an accredited university
* Experience with Physical AI, including vision-language models (VLMs), vision-language-action (VLA) models, and world models for embodied perception, planning, and control
* Experience implementing and debugging algorithms on real robot hardware or high-fidelity simulators, especially NVIDIA Isaac Sim
* Proficiency in Python and working knowledge of C++
* Familiarity with ROS / ROS2 development environments
* Proficient in English both written and verbal
* Must reside in the US and be legally authorized to work in the United States for the duration of the internship or be eligible for a J-1 working - student visa
Preferred Qualifications
* Experience with sim-to-real transfer, domain randomization, or policy adaptation across simulation and real-world robots
* Hands-on experience in robotics data collection, curation, and dataset management for learning-based systems
* Familiarity with egocentric perception or learning methods (e.g., first-person vision, action-conditioned representations, sequential decision making from ego-centric data)
* Experience training or fine-tuning large-scale models using real-world robotic datasets
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.

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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