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VLA Robotics Engineer (m/f/d)

The AI team at Agile Robots is seeking a motivated Robotics Engineer with experience applying modern AI
models to physical systems. You should have 2 to 4 years of professional or practical experience in robotics and
machine learning, with a strong interest or hands-on experience in Vision-Language-Action (VLA) models. In
this role, you will help bridge the gap between AI research and practical execution by implementing, testing,
and deploying VLA-driven capabilities directly onto real-world production lines. Prior experience running
learning-based policies on real hardware in industrial setups is a significant plus.
  • Implement, fine-tune, and evaluate Vision-Language-Action (VLA) models and multimodal policies for robotic manipulation tasks
  • Deploy and validate robotic control pipelines on physical hardware in production-line and factory environments
  • Integrate multimodal model outputs (vision, force/torque, language inputs) into existing robot execution and control frameworks
  • Assist in data collection campaigns, recording robot demonstrations, and setting up data pipelines for model training and iteration
  • Test model performance on edge hardware, ensuring consistent performance of the system
  • Write clean, maintainable code, test scripts, and technical documentation to support continuous integration and deployment
  • Travel to our deployment sites, primarily China (up to 30%–40% of the time depending on project stage), to work alongside on-site engineers, deploy solutions on production floors,
  • and gather operational feedback
  • 2 to 4 years of relevant professional or applied experience in robotics software, computer vision, or machine learning for robot control
  • Solid understanding of Vision-Language-Action models, multimodal transformers, or learning-based manipulation (imitation/reinforcement learning)
  • Proficient in writing modular, readable, and well-tested code in Python and/or C++.
  • Hands-on experience with ROS/ROS2, Linux environments, Docker, Git, and ML frameworks
  • like PyTorch
  • Solid understanding of robotics fundamentals, including kinematics, dynamics, control, and
  • motion planning
  • Comfortable working directly with physical robots, sensor integration (cameras, force
  • sensors), and basic control loops
  • Availability to work primarily on-site at our headquarters in Munich
  • Strong problem-solving skills and good written and verbal communication in English
  • Hands-on experience testing or deploying learned policies in actual production lines or industrial factory setups
  • Experience with robot demonstration processing, data logging, and data preparation for robot learning pipelines
  • Good technical writing skills for clear setup guides and deployment documentation
  • Good verbal and written communication in Chinese (Mandarin) is a strong plus for smooth on-site collaboration at our Chinese deployment facilities
  • Dynamic high-tech startup combined with financial soundness and world class investors
  • Challenging tasks and projects
  • Great working environment in an interdisciplinary, international team
  • Room for creativity and personal development


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