Rhoda AI

Rhoda AI

Senior/Staff Actuator Test & Equipment Engineer – Generalist Intelligent Robots

Mountain View · Staff+

Sponsorship not specifiedDetected 22 days ago
PythonMATLABRESTData EngineeringStatisticsRoboticsMechanical DesignElectrical EngineeringHardware DesignLabVIEWTest AutomationResearchCommunicationActuators

About the role

  • We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.
  • Without rigorous, well-instrumented, high-throughput test capability, the rest of the actuator team is guessing.
  • Test Execution & Throughput: Work closely with the actuator technician to make sure tests are run promptly and efficiently.

Responsibilities

  • Dyno Development: Design and build motor dynos, actuator dynos, and back-to-back test setups for performance and efficiency characterization across the full speed-torque envelope.
  • Specify load motors, torque transducers, encoders, drives, and the mechanical structure that keeps everything aligned at speed.
  • Gear Test Capability: Develop 4-square gear testing setups for high-cycle, low-energy gear life and efficiency testing. Build the rigs that let us run millions of cycles at representative loads without paying for every joule of input energy.
  • Cooling Test Benches: Build cooling test benches that characterize motor and actuator thermal behavior - coolant flow, heat rejection, temperature rise under load - and validate the thermal models that drive our cooling architecture.
  • Durability & Cycling Equipment: Design housing cycling test equipment and other durability rigs that exercise actuators against representative duty cycles, environmental conditions, and failure modes.
  • Build the procedures, fixtures, and software tooling that turn a test stand into a high-throughput piece of capital equipment rather than a one-off experiment.
  • Test Plan Development: Partner with design and modeling engineers to define test plans for component characterization, model correlation, and durability validation. Push back when a plan won't actually answer the question being asked.
  • Data Integrity & Reporting: Own the integrity of the data leaving your test stands - calibration, traceability, uncertainty quantification - and the clarity of the reports that go back to design and modeling.

Requirements

  • The data you collect must be good enough to validate models and inform design decisions, not just good enough to look at.
  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Mechatronics, or a related field.
  • You know what an honest measurement looks like and what a misleading one looks like.
  • Technical "Superpower": Deep proficiency in dyno design and electromechanical test rig development.

Benefits

  • BONUS POINTS (THE "PLUS" LIST)
  • Education: Bachelor's degree in Mechanical Engineering, Electrical Engineering, Mechatronics, or a related field.
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