Mercedes-Benz - Intern robotics

Deadline: As soon as possible

Internships

Companies

Location(s)

Germany

Mercedes-Benz Plant Sindelfingen

Overview

We offer you the opportunity to gain hands-on experience with state-of-the-art robotics hardware and modern software stacks in a collegial team with flexible working hours and deep insights into an innovative research project.

Details

Tasks

In our Logistics Engineering Technologies & Advanced Logistics team, we work at ARENA2036 on the campus of the University of Stuttgart on pioneering robotics solutions for intralogistics. As part of an ongoing research project, we are developing a flexible bin-picking system together with partners from industry and research.

As an intern on our team, you will support the operation and further development of one of our mobile robotic demonstrators. Your tasks will include:

Operation, maintenance, and support of the demonstrator during test campaigns and demonstrations
Extension and maintenance of the state machine orchestrating the robot's behavior
Maintenance and improvement of the motion planning stack
Integration of additional hardware and software components into the overall system
Contributing to the ROS2, MQTT, and REST interfaces between the system's components

Opportunity is About

Computers & IT Engineering

Show More Show Less

Eligibility

Candidates should be from:

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo: Democratic Republic Congo: Republic Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo UN1244 (*not recognized by majority of countries) Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau North Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Palau Palestinian Authority Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States of America Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Western Sahara Yemen Zambia Zimbabwe

Show More Show Less

Description of Ideal Candidate

Qualifications

Currently enrolled student in computer science, robotics, mechatronics, electrical engineering, or a comparable study program (mandatory)
Solid programming skills in Python and C++
Practical experience with ROS2 and ideally the MoveIt motion planning framework
Basic theoretical understanding of robotics fundamentals such as kinematics, coordinate transformations, and motion planning
A strong interest in robotics, particularly in manipulation, bin-picking, or collaborative robotics
Comfortable working in a Linux-based environment and familiar with Git for version control
Familiarity with Docker and experience with state machines is a plus
Familiarity with MQTT, REST APIs, or robot visualization tooling (e.g., RViz) is a plus
Hands-on experience with cobots, depth cameras, AGV platforms, or grippers from previous projects is a plus, but not required
Very good communication skills in English; German is a strong plus but not required
Team player with a hands-on mindset

Dates

Deadline: As soon as possible

Cost/funding for participants

Fully Funded

+ More Info / Application Save Opportunity

Un-save Opportunity

Report broken link

Thanks! We will fix it in the next few hours!