Lead Software Engineer - Dexterous Manipulation

📋 Description

• Lead the development of learning-based dexterous control algorithms for multi-fingered hand
• Bridge research and production software for reliable, scalable robotic control in simulation and
• Influence hardware design and contribute to software architecture across the robotics stack.
• Oversee sim-to-real transitions and production deployment of control policies.
• Mentor teams and set technical standards for architectural excellence.
• Drive the long-term technical roadmap for dexterous manipulation.

🎯 Requirements

• Dexterous manipulation expertise with multi-fingered hand control and hardware deployment.
• Advanced control and learning methods (reinforcement learning, imitation learning, etc.).
• Proficiency in Python; experience with real-time robotic software stacks (C++/Python).
• Experience with simulation environments (IsaacSim, MuJoCo, Drake) for policy training/validation.
• BS/MS/PhD in Robotics/CS/EE; 5+ years relevant robotics experience.
• Ability to reduce complex algorithms from research to production hardware; strong communication

🎁 Benefits

• Direct hire at a robotics company building AI-powered humanoid systems.
• Collaborative, human-centered work culture with focus on safety and mass production.