Member of Technical Staff - Hardware Science, Frontier AI & Robotics (FAR)

Amazon

San Francisco, CA, US
On-site
Robotic foundation models
Sim2real transfer techniques
Motor control strategies
This role involves driving independent research to build intelligent robotic systems from the ground up at Amazon scale

Job Summary

  • This role involves driving independent research to build intelligent robotic systems from the ground up at Amazon scale.
  • Candidates will develop breakthrough foundation models that enable robots to perceive, understand, and interact with the physical world.
  • The position requires balancing innovative technical exploration with hands-on hardware implementation across the full robotics stack.

Matching Summary

This role involves driving independent research to build intelligent robotic systems from the ground up at Amazon scale.

Skills & Requirements

Must-have

  • robotic foundation models
  • sim2real transfer techniques
  • motor control strategies
  • hardware deployment experience
  • multi-modal robot learning

Nice-to-have

  • first principles thinking
  • independent research initiatives
  • collaboration with engineering teams
  • ambitious technical exploration

Key Requirements

  • Member of Technical Staff level experience
  • Background in AI and robotics research
  • Experience with actuator design and motor control

Work Rights

Not specified

Tailored Resume

Cover Letter