Teams at RoboForce

Build RoboForce's internal AI-native OS: design, prototype, and productionize agents, automations, workflows, and templates. Identify high-leverage AI opportunities, drive cross-functional adoption, define usage and security standards, partner on infrastructure, and act as technical chief-of-staff. On-site five days weekly.

The role involves building and maintaining AI infrastructure, optimizing training performance, and developing tools for robot training and data workflows.

Lead engineering of the full embodied systems stack for real-world robots, owning onboard inference, data collection, teleoperation, and on-robot RL systems. Set architecture and technical direction, deliver reliable real-time deployments, close the loop between data, models and actions, and mentor engineers to scale embodied AI in industrial environments.