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Motion Control Engineer - Actuator Control Algorithms

Mobileye -
上海市

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职位详情

全职
7 天前

完整职位描述

At Mentee Robotics, we are redefining humanoid automation with an AI-first approach - combining perception, reasoning, and dexterous manipulation into fully autonomous systems that continuously learn and adapt.

We are now expanding with a new robotics Engineering center in China, working hand-in-hand with our engineering teams in headquarters. Its mission: to rapidly develop our next-generation full-size humanoid and bring it to life - a walking, working platform that becomes the foundation of our next generation of products. This is a small, senior, hands-on team where speed of iteration is the core value.

We are looking for a Motion Control Engineer to own the control algorithms of every joint in our humanoid - jointly with the embedded team, who implement your designs on the Motor Controller PCB. This is pure actuator control: FOC, loop design, estimation, and compensation. Whole-body behavior lives in learned policies; your job is to make every joint execute its commands perfectly.

Who you are?

A motor control specialist who can take a noisy, nonlinear physical joint and make it track like a servo catalog page
Equally fluent in control theory and in what the silicon can actually compute in a 60 kHz loop
Data-driven: you tune with measurements, plots, and system identification - not by feel alone

Responsibilities:

Define and validate the motor control methodology across the robot: FOC and commutation strategies for BLDC motors in quasi-direct-drive configurations with planetary reduction
Design current, velocity, and position/torque control loops; define bandwidths, filtering, anti-windup, and saturation handling
Develop torque estimation, friction and cogging compensation, and observers for joint state
Define joint-level safety limits and fault-handling behavior together with embedded
Guide and verify the embedded implementation of your algorithms on the Motor Controller PCB; co-own everything running on that board
Design and execute structured characterization tests on the joint dyno: torque, speed, resolution, responsiveness, thermal behavior
Deliver validated actuator models and control limitations to the Sim2Real and RL teams - your measured envelopes become their training constraints
Drive improvements in actuation repeatability and responsiveness through precise measurement and feedback

Requirements:

B.Sc. or M.Sc. in Electrical, Mechanical, or Control Engineering (or equivalent experience)
8+ years in motor control systems or motion system integration
Deep hands-on experience with FOC and current/velocity/position loop design for BLDC motors
Familiarity with planetary gear systems and QDD architectures, and their impact on control and sensing
Proven ability to define and lead performance test plans from lab setup to interpretation
Comfortable using lab tools (oscilloscopes, encoders, current sensors) to evaluate dynamic behavior under load and in closed loop
Impedance control and proprioceptive actuation experience

Advantages:

Experience in robotic or humanoid actuation or servo drive companies
Familiarity with harmonic gear systems and their control implications
Python for scripting, system identification, and data analysis
Understanding of how sensor noise, latency, and actuation limits affect learned whole-body policies
Comfortable communicating technical topics in English with international teams

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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