Dexterous Manipulation Engineer - Palo Alto
5 days ago

Job summary
We're partnering with a well-funded robotics start-up in Palo Alto that's redefining humanoid robotics.In this role, you'll lead efforts to train general-purpose control policies for high-DOF hands, design scalable pipelines for real-world data collection, and drive sim2real transfer for contact-rich manipulation tasks.
+,+
- Training and scaling RL and imitation learning policies for dexterous, contact-rich manipulation
- Developing sim2real pipelines (domain randomization, dynamics adaptation, residual learning)
- Leveraging foundation models and representation learning for robotic control
Benefits
Tactile sensing , Vision-language policies (VLP), Differentiable simulation experience.+Job description
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