Robotics Engineer (m/f/d) 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.