RobCo GmbH
RobCo steht an der Spitze einer Revolution in der Robotik, die es Unternehmen ermöglicht, ihre Produktivität zu steigern und sich vom Arbeitskräftemangel zu befreien. Wir suchen Dich, um RobCo zum führenden Robotikunternehmen in Europa und den USA zu machen. Wir haben mehr als 50 Millionen Dollar von den weltbesten Risikokapitalgebern wie Sequoia Capital und Lightspeed sowie den Gründern von UiPath, Helsing, Pitch und weiteren Firmen erhalten, um unsere Mission zu erfüllen.
Join our fast-growing robotics startup, located in Munich, and be part of a team building the next generation of intelligent robot platforms. We are searching for motivated eager to dive into advanced robot learning topics - specifically . With more than €50 million in funding from renowned VCs such as Sequoia Capital and Lightspeed, as well as top investors like Daniel Dines and Torsten Reil, we’ve built a solid foundation for our ambitious growth goals. working studentsimitation learning, robotics simulation, and reinforcement learning
A centrally located office in Munich, with the possibility of remote work for simulation and model development tasks.
Do you share our passion for groundbreaking robotic technology and want to be part of our dynamic growth journey? You'll take ownership of your own projects, implement innovative solutions, and be recognized for your contributions!
RobCo is spearheading a revolution in robotics, empowering businesses to thrive by supercharging productivity and freeing them from labor shortage. We are searching for you to build RobCo into the category-leading robotics company in Europe and the US. We’ve raised more than $50 million from the world’s best VCs, such as Sequoia Capital and Lightspeed, as well as the founders of UiPath, Helsing, Pitch, and other companies to fulfill our mission. At RobCo, applicants are selected regardless of ethnic origin, religion, gender, age, disability or sexual orientation. All decisions throughout the recruitment process are based solely on the qualifications, skills, knowledge and experience of the applicants and the relevant business requirements.
Contribute to the development of imitation learning pipelines for complex, bimanual robotic manipulation.
Design and conduct experiments using simulated environments and real robot hardware.
Develop and evaluate reinforcement learning algorithms for continuous robot skill improvement.
Support software integration for perception, control, and data collection modules.
Collaborate closely with experienced engineers and researchers to solve real-world robotics challenges.
Currently enrolled in a Bachelor’s or Master’s program in Robotics, Computer Science, Engineering, or a related technical field.
Strong programming skills in Python and/or C++. Experience with ML and robotics frameworks (e.g., PyTorch, TensorFlow, ROS)
Solid knowledge of machine learning fundamentals, including deep learning and reinforcement learning.
Practical experience with robotics simulation tools (e.g., MuJoCo, Isaac Sim, PyBullet) is desirable.
Creative problem-solver with a strong drive to experiment, learn, and build.
Good communication skills, fluent in English; German is a plus.
Bei RobCo erfolgt die Auswahl von Bewerber*innen unabhängig von ethnischer Herkunft, Religion, Geschlecht, Alter, Behinderung oder sexueller Orientierung. Alle Entscheidungen im gesamten Rekrutierungsprozess basieren ausschließlich auf den Qualifikationen, Fähigkeiten, Kenntnissen und Erfahrungen der Bewerber*innen sowie den relevanten Geschäftsanforderungen.
What We Offer
Hands-on experience with cutting-edge robotic learning systems.
Flexible working hours that fit well with your academic schedule.
An open, ambitious, and supportive startup environment.
Mentorship from experienced experts in robotics and machine learning.
Access to over 7,200 partner gyms across Germany for just €30/month with your subsidized Wellpass membership.
Regular team events (game nights, ski trips, and much more) – teamwork makes the dream work!
Veröffentlicht | vor 7 Tagen |
Läuft ab | in 23 Tagen |
Arbeitsmodus | Full Time |
Quelle | ![]() |
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