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# (Senior) Robotic Software Engineer Teleoperation & Robotic Data Collection

- **Company:** Agile Robots Ag
- **Location:** München, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, C++ (Programming Language), Computer Programming, Data Infrastructure, Hardware Design, Python (Programming Language), Motion Capture, Software Engineering, WebRTC, Deep Learning, Information Technology, Unreal Engine, Docker
- **Published:** July 10, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=702986ebdab74ac5

## About the Role

* Background: Master's degree in computer science, robotics, automation, electrical engineering, or a related field, or an equivalent combination of formal training and professional experience.
 * Professional Experience: 2 to 5+ years of professional experience in robotics software engineering.
 * Robotic Integration: Hands-on experience integrating perception, manipulation, and teleoperation on real robotic platforms, including work with ROS2 and robotic software development.
 * Programming: Working proficiency in Python for robotics software development, with familiarity with C++ considered a plus.
 * Learning-Based Robotics: Experience working with Vision-Language-Action (VLA) models, imitation learning, deep learning, or robot foundation models., * Teleoperation Frameworks: Experience with GEllo or similar robotic teleoperation frameworks.
 * Data Collection: Experience with egocentric data collection, demonstration recording pipelines, or data infrastructure for embodied AI and imitation learning.
 * Motion Sensing: Experience with human motion capture, hand tracking, or motion retargeting.
 * Immersive Development: Experience with Unity or Unreal Engine development for AR/VR applications.
 * Systems & Deployment: Experience with SLAM, Docker, or cloud-based deployment.

## Description

The AI Research Division of Agile Robots is looking for a (Senior) Robotic Software Engineer (m/f/d) Teleoperation & Robotic Data Collection, who will build next-generation robotic teleoperation and data collection systems, enabling high-quality demonstration data for foundation model training, imitation learning, and Vision-Language-Action (VLA) models., * Teleoperation Methods: Develop AR-assisted, language-guided, and shared-autonomy teleoperation methods for large-scale robotic data collection.

 * Shared Autonomy: Fine-tune foundation and deep learning models to support intelligent shared autonomy during teleoperation.
 * Hardware Integration: Integrate VR/AR devices, motion capture systems, and teleoperation hardware with robotic platforms, ensuring reliable real-time communication and an intuitive operator experience.
 * System Improvement: Improve the usability, robustness, and performance of teleoperation systems.
 * Cross-Team Collaboration: Work with AI and robotics teams to translate research requirements into production-ready software.


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