Teams at Sanctuary AI

Lead development of production teleoperation and robotic data-collection software. Build reliable, low-latency systems for robot control, motion capture, visual and haptic feedback, and hardware-in-the-loop testing. Evaluate robotics research and integrate promising methods into maintainable products. Guide architecture, mentor engineers, and coordinate with controls, hardware, machine learning, and customer teams. Apply expertise in C++, Python, ROS 2, kinematics, coordinate transforms, and latency-sensitive robotic systems.

Lead robot learning research initiatives from hypothesis through validation and production transition. Develop and evaluate reinforcement learning, imitation learning, simulation-to-real, world model, and foundation model approaches for physical robots. Design experiments, training and data collection pipelines, and performance improvements while collaborating cross-functionally to harden algorithms for production. Requires deep expertise in at least one robot learning area, practical robotic manipulation experience, and strong Python, machine learning, and robotics platform skills.

Own end-to-end customer deployment projects for robotic systems, from sales handover and requirements definition through solution design, build, installation, commissioning, acceptance, and operational handover. Manage schedules, budgets, risks, change control, customer communication, cross-functional dependencies, site readiness, testing, and acceptance. The role also develops scalable project-management processes, templates, reporting practices, and lessons learned for future deployments.