Teams at XDOF

Develop robot perception systems for human pose estimation, 3D vision, sensor calibration, visual SLAM, multimodal synchronization, and 6DoF pose estimation. Train and optimize perception models for embedded deployment using TensorRT and CUDA, build automated annotation and quality-assurance pipelines, and connect perception accuracy with robot training outcomes. Collaborate with robotics, machine learning, and data infrastructure teams to deliver high-quality annotations for teleoperation and embodied AI systems.

Design and deploy high-performance whole-body and motion-control systems for dexterous manipulators and humanoid robots. Responsibilities include impedance and torque control, optimization-based controllers, collision avoidance, real-time software integration, simulation-to-hardware deployment, controller tuning, and diagnosing control failures during teleoperation and autonomous runs.

Lead end-to-end planning and delivery of cross-functional projects, define scope and success metrics, manage timelines and risks, coordinate multiple teams and stakeholders, drive process improvements, and report progress to management.