Rhoda AI

Technology

SeniorActuatorModelingEngineer

$175–250k ~AI est. Palo Alto, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Actuator Modeling Engineer at Rhoda AI. Skills: Actuator modeling, Physics-based models, Data-driven models. Develop and maintain 1D actuator model. Correlate model to bench and robot data”

What You'll Achieve.

Shape prototyped hardware; Shape shipped hardware; Inform actuator architecture trade-offs; Feed optimized targets to design team

Industry & Context.

Technology
Problems you'll solve

Optimization; Sensitivity analysis; Trade-off analysis

What They're Looking For.

Must Have

Bachelor's degree in Mechanical Engineering, Electrical Engineering, Mechatronics, Applied Physics, or a related field, 5+ years developing physics-based models for electromechanical systems, At least one program where your modeling work materially shaped a hardware design, Grasp of electromechanical actuator physics

Nice to Have

Advanced degree a plus, Reliability Engineering experience, Familiarity with IEC 61508 or ISO 13849, Hands-on experience with PMSMLDC motor design, Planetary or harmonic gear sizing experience, Bearing life modeling experience, Background in CHT, Lumped-parameter thermal networks background, Motor cooling system design background, Data Pipeline Experience, Robotics background, Automotive background

What You'll Do.

Develop and maintain 1D actuator model

Correlate model to bench and robot data

Evolve model with new physics

Synthesize customer use cases into duty cycles

Build optimization models

Identify high-leverage design changes

Quantify sensitivities connecting design parameters to outcomes

Assign monetary value to actuator attributes

Develop simulations for trade-offs

Feed optimized targets back to design team

Drive motor cooling decisions

Develop fatigue models

Build efficiency models

Guide design and control strategy

Partner with actuator design

Partner with controls

Partner with reliability

Partner with systems engineering

How You'll Work.

Team & Collaboration

Cross-functional influence; Actuator design team; Controls team; Reliability team; Systems engineering team

Communication Scope

Written communication

Full Job Description

At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. SENIOR ACTUATOR MODELING ENGINEER ABOUT THE ROLE: As a Modeling Engineer, you will develop the mathematical foundation that guides actuator design across our robot fleet. You translate the statistical population of real-world use cases our robots encounter into concrete, defensible design decisions: how big the motor should be, how the gear train should be sized, what to cool, what to optimize, and what each attribute is actually worth. Actuators are the meeting point of electromagnetics, thermodynamics, structural mechanics, and tribology — and the design space is vast. Your models are how we navigate it. The simulations, duty cycles, and sensitivity analyses you build will directly shape what gets prototyped, what gets shipped, and what we choose to leave on the table. We operate as T-shaped engineers. You must be a strong generalist across actuator physics, but your superpower for this role is building rigorous, data-driven models that turn ambiguous customer needs into prioritized, monetized design targets. WHAT YOU'LL DO 1D System Modeling: Develop and maintain the 1D actuator model that serves as the team's source of truth for performance prediction. Keep it correlated to bench and robot data, and evolve it as new physics, components, and use cases emerge. Duty Cycle Development: Synthesize the statistical population of customer use

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