Technical Team Lead (m/f/d) Dexterous Manipulation
comp Agile Robots SE comp 81369 München - Deutschland
Ingenieur/in - Robotik, Autonome Systeme Arbeit Vollzeit ab 04.11.2025
Beschreibung
About the roleOur AI Research division is looking for a dedicated Dexterous Manipulation lead to move robots beyond pick-and-place toward tactile, contact-rich, human-level interaction . As Technical Team Lead , you will define the roadmap, guide a cross-functional team, and turn advanced imitation and reinforcement learning research into deployable robotic skills. Your mission: extend the existing large robot model research to high-DoF hands for a significant increase in fine manipulation capabilities.Your Responsibilities
• Leadership & Architecture: Define the team's research roadmap and architecture for contact-rich manipulation; bridge across Robot Teaching, Foundation Models, and Hardware R&D to align on data, control, and execution needs.
• Development & Experimentation: Design manipulation policies combining visual, tactile, and force-torque feedback; supervise data pipelines using teleoperation, motion capture, and simulation (Isaac Sim, Omniverse, MuJoCo).
• Optimization & Integration: Lead on-site experiments in industrial use-cases and sim-to-real transfer, ensuring impactful results on real hardware for real-world tasks.
• Collaboration & Mentorship: Partner with external research and data collection collaborators; mentor engineers and researchers to build a pragmatic, reproducible, and impact-driven culture.

Essential Skills
• Education & Experience: Master’s or PhD in Robotics, Computer Science, or related field; 5+ years in robotics R&D with focus on robotic hands, manipulation, machine learning, with prior leadership of projects or teams.
• Technical Expertise: Proficiency in Python/C++, PyTorch/TensorFlow, and ROS2; experience with simulation frameworks (Isaac Sim, Omniverse, or MuJoCo).
• Learning & Control: Deep understanding of Imitation Learning, Behavior Cloning, Reinforcement Learning, kinematics, and force-torque/trajectory control for high-DOF systems.
• Integration & Communication: Proven ability to transfer policies from simulation to hardware and communicate technical concepts clearly across disciplines.

Beneficial Skills
• Infrastructure: Experience with GPU-based distributed training, cloud ML platforms (AWS, GCP, Azure), and modern CI/CD workflows.
• Sensing & Systems: Familiarity with tactile sensors, real-time control, or hardware-software co-design.
• Research Engagement: Publications or collaborations in dexterous manipulation, imitation learning, or reinforcement learning.

What we offer
• Dynamic high-tech company combined with financial soundness and world class investors.
• Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
• Lots of development opportunities in the context of our continued growth.
• Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
• Corporate Benefits Program that covers health, mobility and learning with 100 € net per month.
• Modern office facilites with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.

About us Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us!We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability.
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Letztes Update: 22.11.2025
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