Senior Motor Control Engineer

About 1X

We’re building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it’s not.

To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you’re inspired by this, you’ll thrive here. We’ve been at this since 2014 and we’re at the point where the hard problems are behind us and the hard work is in front of us.

NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We’re not demoing it - we’re shipping it. We’re excited to meet you, if this excites you.

If you’ve spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We’re scaling, we’re hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all.

About the Team

The Actuators team develops the electromechanical systems that enable NEO to move with strength, precision, and reliability. Our work spans mechanical design, electric motors, sensing, power transmission, controls integration, and hardware validation.

We work closely with electrical, controls, firmware, test, and manufacturing teams to rapidly develop actuator concepts, validate performance, and mature designs into reliable systems that can be produced at scale.

Your Charter

Own how NEO’s motors turn current into torque. You will design, simulate, tune and validate the motor control for the REVO2 family of in-house permanent magnet synchronous motors and for the new motors joining the family, in quasi-direct-drive and geared joints across the whole body.

Your control decides how NEO feels to the people around it: quiet, smooth, backdrivable and compliant, with accurate torque delivered inside tight current, voltage and thermal limits. You will take each controller from model and simulation, to the dynamometer, to the full robot, and you will define the limits, fault reactions and torque-off behavior that keep NEO safe next to a family.

You will work alongside the electromagnetic design team, turning their FEA results into control-oriented motor models (for example JMAG-RT plant models in MATLAB/Simulink) and feeding control findings back into the next motor revision. You own the control implementation on the product, from simulation to the dynamometer to the full robot, and you work with electrical (gate drivers, current sensing, inverters) and firmware engineers to bring each control strategy into production with its parameters and the evidence that it works.

Key Outcomes

• Design and tune field-oriented control with space-vector PWM and cascaded current, velocity and position loops for every REVO2 motor variant, with documented bandwidth, phase margin and step response targets per joint

• Deliver torque and impedance control modes that make NEO backdrivable and compliant on contact, with torque accuracy verified at the joint output

• Build a motor parameter identification process (Rs, Ld, Lq, flux linkage, inertia, friction) that runs on the dynamometer and scales to production units

• Own encoder, Hall and resolver calibration and commutation offset procedures so every motor commutates correctly from first power-up

• Reduce torque ripple and acoustic noise through cogging and ripple compensation, feedforward and friction compensation, measured on the dyno and on the robot

• Get the most torque and speed out of a low-voltage battery bus with field weakening, MTPA and voltage-limit handling, while respecting current and thermal limits on small, densely packed motors

• Define and validate fault detection and reactions for overcurrent, overvoltage, undervoltage, overtemperature, stall and sensor loss, including safe torque-off behavior

• Characterize control performance on dynamometers (torque constant, efficiency maps, torque ripple, thermal behavior, loop response) with repeatable test methods and clear reports

• Build and maintain control-oriented plant models (JMAG-RT, MATLAB/Simulink or Python) correlated with dyno and robot data, and feed the results into the next motor and drive revisions

Key Competencies

• Control fundamentals: frequency-domain design, discrete-time and delay effects, saturation and anti-windup, and a clear sense of where a model stops being true

• Motor physics intuition: you can explain a torque ripple harmonic, a current-loop oscillation or a thermal derate from the motor equations and the measured data

• Hands-on debugging at the hardware, firmware and control boundary with a scope, current probe, dyno logs and the firmware source, fixing root causes instead of retuning symptoms

• Safety-first judgement: you treat limits, fault reactions and torque-off as part of the control design, not an afterthought

• Clear communication with motor design, electrical, firmware and test engineers, and the habit of getting involved early in hardware decisions that affect control

Minimum Requirements

• Bachelor’s degree in Electrical Engineering, Controls, Mechatronics, Robotics or a related field

• 3+ years of industry experience designing and tuning motor control on real hardware, with level set by depth and scope of ownership

• Shipped motor control: field-oriented control with cascaded current, velocity and position loops for PMSM or BLDC motors that you designed or tuned, running on hardware that reached production, a fielded fleet or a formal validation program

• Strong command of PMSM modelling in the dq frame, space-vector PWM, inverter non-idealities (dead time, current sensing, ADC and PWM timing) and voltage limits

• Hands-on motor parameter identification and position sensor calibration (encoder, Hall or resolver, including commutation offset)

• Dynamometer experience measuring torque constant, efficiency, torque ripple and loop response, and turning the data into control changes

• Controller modelling and simulation in MATLAB/Simulink or Python

• Ability to read embedded C/C++ well enough to trace control behavior back to the code

Preferred Skills

• Torque and impedance control for robotic joints, quasi-direct-drive or geared actuators, backdrivability and compliant physical interaction

• Field weakening and MTPA on low-voltage drives, and thermal modelling and derating of small motors

• Control-oriented motor modelling with FEA-derived plant models such as JMAG-RT, and co-simulation with the electromagnetic design team

• Torque ripple, cogging and acoustic noise reduction in servo or robotic actuators

• Embedded firmware development in C/C++ on STM32, TI C2000 or similar, including ISR timing, DMA and ADC and PWM synchronization

• EtherCAT or CAN FD at 1 kHz and above, and a real-time OS such as FreeRTOS or Zephyr

• Functional safety experience with IEC 61508, ISO 13849 or IEC 61800-5-2 (including STO), and familiarity with robot safety standards such as ISO 13482 and ISO 10218

• Sensorless control and observer design

• MS or PhD with research in motor drives or control