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Staff AI Engineer, Robot Autonomy

Confidential company · Munich · Posted Jul 8, 2026

Public summary

Join an innovative robotics scale-up focused on building physical AI for real homes, especially to empower elderly care. This role involves developing and deploying end-to-end learning-based autonomous robot skills in customers' homes, working directly with company founders, and contributing to cutting-edge technological solutions in robotics. Candidates should have strong experience in robotics, autonomous manipulation, and machine learning, with a passion for impactful technology deployment in real-world environments.

Location and work setup

Location
Munich
Remote status
On-site
German requirement signal
No German Required Detected
Detected job language
English

Responsibilities

Design, train, and deploy learning-based policies for dexterous manipulation and autonomous robot skills in customer homes. Build and maintain the learning pipeline including data collection, training, and deployment on physical robots. Implement distributed, continual learning systems for robot fleets. Collaborate with founders to prioritize and architect new developments in physical AI for home robotics.

Qualifications

Significant experience in robotics and autonomous manipulation with practical deployment on physical robots. Hands-on expertise with behavior cloning, learning from demonstration, reinforcement learning, and relevant robotic control systems. Strong fundamentals in robotics kinematics, dynamics, and ROS2. Excellent software engineering skills, ownership mindset, and interdisciplinary communication capabilities. Bonus for experience with NVIDIA Jetson platforms, bi-manual mobile manipulators, compliant actuation systems, scalable machine learning systems, and relevant open-source contributions or publications.

Skills

robotics autonomous manipulation robot learning reinforcement learning behavior cloning ROS2 robot kinematics robot dynamics software engineering distributed learning systems machine learning continuous learning robot deployment