Physical AI Internship
Listed on 2026-06-04
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Engineering
Robotics, Software Engineer
Physical AI Internship
Here at Siemens, we take pride in enabling sustainable progress through technology. We do this by empowering customers by combining the real and digital worlds, improving how we live, work, and move today and for the next generation. Our global, diverse team supports and challenges you to grow in new ways, and we look forward to seeing where this shared journey takes you.
This position will be based on-site in Berkeley, CA. We will consider J‑1 International students for this role.
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
- 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
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 and advanced healthcare, we create technology with purpose that adds real value for customers.
Our Commitment to Equity and InclusionWe 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.
You’ll Benefit FromSiemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found at The pay range for this position is $35–$54 per hour. 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 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.
Amountable‑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 the link to the Disability Accommodation Form. If you’re unable to complete the form, you can reach out to our AskHR team for support at 1‑866‑743‑6367.
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Criminal HistoryQualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.
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