Robotics Controls Engineer — HIL, Validation & Bring-Up

Groupe-Ebra-1

Cambridge (MA)

On-site

USD 120,000 - 180,000

Full time

8 days ago

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Benefits offered by this job

Health coverage
Paid time off
401(k) match
Equity
Free lunch

Job summary

Humanoid is seeking a Controls Engineer to join the Control Team in Boston. You will own testing, validation infrastructure, observability and runbooks to turn ad-hoc checks into reproducible evaluation and enable first-time hardware bring-up.

You will work across the control stack from actuators to diagnostic tooling, build reusable interfaces, and ensure hardware deployments are validated end-to-end on real robots before wider adoption.

Qualifications

  • Hands-on robotics work on real hardware.
  • Strong control theory foundations including PID, observers, state estimation.
  • Experience shipping software: C++ in RT control codebase and Python for tests.
  • Built test automation, HIL or integration-test infra.
  • Ability to reproduce failures and analyze data.

Responsibilities

  • Build and own HIL and integration test workflows.
  • Define metrics for repeatability and accuracy.
  • Expand unit and integration test coverage across control components.
  • Develop automated regression checks for controls.
  • Define testability requirements for new components.
  • Package controllers into reusable interfaces.
  • Bring-up and integrate new hardware for Boston components.
  • Validate end-to-end on real robots.

Skills

Robotics experience
Control theory
Debugging
Data analysis
Test automation

Tools

Real-time C++
Python
HIL testing
Observability tooling

Job description

Humanoid is seeking a Controls Engineer to join the Control Team in Boston. You will own testing, validation infrastructure, observability and runbooks to turn ad-hoc checks into reproducible evaluation and enable first-time hardware bring-up.

You will work across the control stack from actuators to diagnostic tooling, build reusable interfaces, and ensure hardware deployments are validated end-to-end on real robots before wider adoption.

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