Leads robotics automation strategy and hands-on software architecture for manipulators and automated forklifts, spanning controls, autonomy, cloud systems, team leadership, and production deployment.
About this role
This VP leads the team developing robotic foundation models that combine vision, language and action. The role turns multimodal research into reliable production systems, from teleoperation data to deployment on robots.
Responsibilities include hiring and developing the team, setting the roadmap and resources, and coordinating robotics, controls, hardware and product teams. Technical ownership spans model architecture, training, data quality, continuous learning, edge deployment, safety evaluation and learning from field failures.
Candidates need experience leading ML, robotics-AI or multimodal-model teams and bringing advanced AI or robotics into reliable operation. They need deep multimodal-model expertise, experience integrating AI with robots, and strong data-pipeline and training-system skills. Familiarity with ROS, edge platforms such as Jetson, distributed training and production ML infrastructure is required. Strong English communication is mandatory.
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