Robotics Engineer VLA

We are looking for a Robotics Engineer (m/f/d) VLA, who will implement, fine-tune, and deploy Vision-Language-Action (VLA) models and multimodal robot control policies directly onto physical production lines, turning AI research methods into working factory-floor behavior.

Your Responsibilities

• **VLA Development:**Implement, fine-tune, and evaluate Vision-Language-Action models and multimodal policies for robotic manipulation tasks.
• **Hardware Deployment:**Deploy and validate robotic control pipelines on physical hardware in production-line and factory environments.
• **Multimodal Integration:**Integrate vision, force/torque, and language model outputs into existing robot execution and control frameworks.
• **Data Collection:**Run data collection campaigns, record robot demonstrations, and set up data pipelines for model training and iteration.
• **Edge Performance:**Test and tune model performance on edge hardware to maintain consistent inference speed and control frequency.
• **Field Deployment:**Travel to deployment sites, primarily in China, to deploy solutions on production floors and gather operational feedback alongside on-site engineers.

Essential Skills

• **Background:**2–4 years of professional or applied experience in robotics software, computer vision, or machine learning for robot control, or equivalent demonstrated project experience.
• **VLA Foundations:**Working understanding of Vision-Language-Action models, multimodal transformers, or learning-based manipulation (imitation or reinforcement learning), including the pretrained demonstration base most VLA policies are fine-tuned from.
• **Software Craft:**Proficiency in modular, readable, and well-tested code in Python and/or C++, with hands-on use of ROS/ROS2, Linux, Docker, Git, and ML frameworks such as PyTorch.
• **Robotics Fundamentals:**Solid understanding of kinematics, dynamics, control, and motion planning.
• **Physical Systems:**Comfortable working directly with physical robots, including sensor integration (cameras, force sensors) and basic control loops.
• **Location & Language:**Professional working proficiency in English, with availability to work primarily on-site at our Munich headquarters.

Beneficial Skills

• **Production Deployment:**Hands-on experience testing or deploying learned policies in production lines or industrial factory setups.
• **Data Pipelines:**Experience with robot demonstration processing, data logging, and preparing data for robot learning pipelines.
• **Technical Writing:**Ability to write clear setup guides and deployment documentation.
• **Mandarin Fluency:**Verbal and written communication in Mandarin, supporting collaboration at Chinese deployment facilities.

What we offer

• A 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 as we continue to grow.

• Challenging tasks and impactful projects alongside experts that enable professional and personal growth.

• Corporate Benefits Program covering health, mobility, and learning for 100€ net per month.

• Modern office facilities 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 3500 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.