VLA Robotics Engineer

About the role

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.

Your Responsibilities

• 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

Essential Skills

• 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

Beneficial Skills

• 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

Your Profile

What we offer

• 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

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.