Advanced Robotics and AI Internship

Job Description

We are currently looking for an Advanced Robotics and AI Intern to join our Research Group in Berkeley, California. The candidate must be able to work 40 hours a week. The internship is in person in our Berkeley office. The starting date is as soon as possible.

The Challenge

During this internship, the candidate will experience the excitement and challenges of industrial research and be part of a world class team. This person will:

• Conduct research and development in the area of advanced robotics, AI, and machine autonomy
• Work on fast-paced projects in the area of the autonomous factory of the future
• Develop prototypes and proof of concepts
• Demonstrate your work in presentations and publications

The Candidate

Qualified candidates will have/be:

• PhD or MSc students in Computer Science, Electrical Engineering, Mechanical Engineering, or related discipline
• Experience with robotic manipulation and robotic grasping
• Implemented and debugged algorithms on real robot hardware
• Familiarity with ROS development
• C++ and Python proficiency
• Deep Learning experience
• Experience with machine vision for robotics (e.g. OpenCV) and common sensing modalities such as RGB-D sensors

Organization: Technology

Company: Siemens Corporation

Experience Level: Student (Not Yet Graduated)

Full / Part time: Full-time

Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity 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.

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