Member of Technical Staff - Robotics

What you'll do

• Build and maintain robotic systems and data-collection workflows for research and evaluation.
• Design and run hardware experiments; develop reproducible benchmarks and analyze failure modes.
• Collaborate with researchers and engineers to connect machine-learning advances with practical robotics challenges.

What they ask for

• PhD or equivalent hands-on experience in Robotics, Computer Science, Mechanical or Electrical Engineering, or a related technical field.
• Experience developing learning-based robot policies and deploying them on real hardware.
• Strong Python and PyTorch skills, plus proficiency in a robot software stack.
• Understanding of robot kinematics, sensing, calibration, and system integration; ability to independently design, execute, and analyze reproducible robotics experiments.

Nice to have

• Experience with manipulation, locomotion, or whole-body control.
• Experience with imitation learning, reinforcement learning, robot foundation models, simulation, multimodal sensor data, or robotics lab and data-collection operations.

Tools

Python, PyTorch

AI focus

Works on learning-based robot policies and robotics research, connecting machine-learning advances with practical robotics challenges; nice-to-have areas include robot foundation models, imitation learning, and reinforcement learning.