Responsibilities
Define the robot system architecture and lead end‑to‑end solution design and validation across hardware and software.
Design data collection pipelines and evaluation frameworks for embodied‑AI scenarios; establish a multi‑dimensional, quantitative benchmark for embodied capabilities.
Work closely with internal algorithm teams and external partners to iterate embodied models and land applications in real‑world use cases.
Qualifications
Master’s degree or higher in Robotics, Control Engineering, Computer Science, Vehicle Engineering, or a related discipline.
Deep expertise in robotic kinematics and dynamics modeling; strong grounding in control theory.
2+ years of hands‑on robotics development experience; a track record of shipped products or deployed systems is a strong plus.