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Embedded Systems Engineer, Autonomous Vehicles (Federal)

Field AI · Irvine, CA

Roboticsonsite$100k–$240k
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At a glance

Highlights

  • Build field-ready embodied AI for wheeled robots in demanding real environments.
  • Own compute backbone validation to ensure robust performance under field conditions.
  • Ship systems tested on hardware and improved through real field deployments.

Ideal candidate

A hands-on engineer who thrives at the hardware-software boundary and cares about shipping reliable robots for the field. Collaborative and rigorous, you enjoy owning compute systems end-to-end and supporting federal deployments.

Requirements

  • Low-level firmware development on microcontrollers
  • Linux-based system configuration
  • System performance analysis across ARM and x86 SBC platforms
  • Work with ROS data streams on SBCs

Lab profile

About Field AI

Builds risk-aware embodied AI for autonomous robots in construction, mining, security, and manufacturing.

What they build

  • Field-ready embodied AI autonomy stack
  • Autonomous robots for harsh environments
  • Reality capture and construction monitoring

Known for

  • Risk-aware, reliable field-ready AI systems
  • Real robots, sensors, and field deployments
  • Global operations in harsh environments
  • Pragmatic approach beyond off-the-shelf methods

Key facts

  • Based in Irvine, California
  • R&D team in Boston, Massachusetts
More about Field AI →
Apply on the lab’s site ↗

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