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.