Lead Software Engineer - Dexterous Manipulation

Apptronik

Austin, TX, United States
On-site
Dexterous manipulation expertise
Learning-based control for robotics
Python for real-time robotic software
Lead the development of learning-based dexterous control algorithms to enable human-like precision in robotic interaction

Job Summary

  • Lead the development of learning-based dexterous control algorithms to enable human-like precision in robotic interaction.
  • Design and enforce foundational software frameworks for manipulation, balancing autonomous logic with high-fidelity teleoperation.
  • Drive the specifications for next-generation hardware and oversee the transition from experimental research to fleet-wide deployment.

Matching Summary

Lead the development of learning-based dexterous control algorithms to enable human-like precision in robotic interaction.

Skills & Requirements

Must-have

  • Dexterous manipulation expertise
  • Learning-based control for robotics
  • Python for real-time robotic software
  • Physics engines for policy training

Nice-to-have

  • Robotic kinematics and control
  • Teleoperation with VR/haptic interfaces
  • Tactile sensing integration
  • Computer vision for robotics
  • Hardware bring-up experience

Key Requirements

  • 5+ years of relevant experience
  • BS/MS/PhD in Robotics, CS, EE, or related field
  • Proven track record of deploying algorithms on physical hardware

Work Rights

Not specified

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