Member of Technical Staff - Robotics

Highlights

• Build multimodal foundation world models for Physical AI.
• Run real-world hardware experiments testing robustness and generalization.
• Develop reproducible benchmarks to guide model and system improvements.

Ideal candidate

Hands-on roboticist who loves bridging learning research and real hardware, thriving in a small fast-moving team pushing Physical AI. Curious experimenter eager to own systems end-to-end and turn real-world failures into progress.

Requirements

• PhD or equivalent hands-on experience in Robotics, Computer Science, Mechanical or Electrical Engineering or related field
• Experience developing learning-based robot policies and deploying them on real hardware
• Strong Python and PyTorch skills with proficiency in a robot software stack
• Solid understanding of robot kinematics, sensing, calibration, and system integration
• Ability to independently design, execute, and analyze reproducible robotics experiments
• Willingness and ability to travel for hands-on robot setup, testing, and deployment