Advanced Robotics and AI Internship

Advanced Robotics and 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.

Transform the everyday with us!

In this position you will work onsite in our Berkeley, CA office.

This is a fixed-term summer internship running approximately May through September. Candidates must be actively enrolled in a university program for the full duration of the internship and must be available to work a minimum of three full months.

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.

• 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

• 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

Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here:

The pay range for this position is $44‑$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.

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.

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.

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  Please note our AskHR representatives do not have visibility of application or interview status.

Siemens follows Pay Transparency laws.

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Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.