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.
