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XdofXdofSan Francisco, CA

Member of Technical Staff, Robotics

Designs, builds, and deploys robot learning systems from simulation to real hardware, spanning manipulation, locomotion, and control. Requires Python, PyTorch/JAX expertise, and full-stack robotics experience including classical and learning-based methods.

Salary not listed
On-siteEmbedded Engineering

About the role

Responsibilities

  • Design, build, and deploy real world robot learning systems across manipulation, locomotion, and control.
  • Own systems end to end, from simulation and model training to deployment on real robots.
  • Define technical foundations for large scale robot learning.

Requirements

Baseline skills:

  • Bachelor's degree or equivalent experience in Robotics, Computer Science, or related field.
  • Strong experience with Python and modern deep learning frameworks such as PyTorch or JAX.
  • Full stack experience across robot learning, including data processing, model training, and deployment.
  • Experience designing, implementing, and deploying robot learning systems in research or production environments.
  • Strong understanding of classical robotics techniques and learning-based approaches.

You might be a good fit if you:

  • Can take a robotics system from 0 to 1 and iterate quickly based on real world feedback.
  • Have hands-on experience in robot manipulation, locomotion, navigation algorithms, imitation learning, generative modeling, and/or reinforcement learning.
  • Comfortable working across simulation and real hardware, including high degrees of freedom manipulators and mobile robots.
  • Obsessed with state-of-the-art techniques, tools, and research.
  • Thrive in fast-paced, ambiguous environments.

Skills

PythonPyTorchJAXRobot ManipulationLocomotionReinforcement LearningImitation LearningGenerative ModelingRobotics SimulationRobot Deployment
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