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Electrical Engineer, Humanoid Robotics

FieldAI· Engineering – Hardware Engineering
Apply on company site
Boston, MA$100k - $240kFull-timePosted 3mo ago

About the role

Electrical Engineer on the Humanoids Team to develop advanced perception, compute, and manipulation systems for humanoid robotics, collaborating with ML teams to ensure robust, safe, and scalable electrical systems from design through field support.

Responsibilities

  • Electrical System Design: Power Architecture, Wire Harness Design, PCB Design, Networking & Communication, Budgets & Tolerances.
  • Electrical System Implementation: CAD & Schematics, Calculations, Design for Field Conditions, Testing, Integration, Documentation & Budgets.
  • Electrical System Production & Servicing: Build, Debug, Support in field.

Qualifications

  • B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, Robotics, or related field
  • Experience designing and testing low-voltage regulated power systems
  • Hands-on design and integration of custom wire harnesses for robotics or automotive-style systems
  • Proficiency in PCB schematic and layout using KiCAD, Altium, or equivalent tools
  • Familiarity with USB, Ethernet, CAN, I2C, GMSL, and wireless technologies
  • Skills using electrical test tools including oscilloscopes, power analyzers, and EMI/EMC setups
  • Ability to produce detailed electrical documentation for design, manufacturing, and servicing
  • Experience working across mechanical, compute, and autonomy teams to deliver robust integrated systems
  • Cross Functional Robotic Skills: contribute electrical, sensing, and embedded computing work

Skills

Required:Power system designWire harness designPCB designNetworking & communicationSchematic & CADElectrical testing

Benefits

  • Salary range: $100,000 - $240,000 per year (base pay varies by experience and market)
Last updated Oct 22, 2026. Interested? Apply on the company site.

About FieldAI

Robot intelligence built for the real-world.

FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.

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