Exoskeleton Controls Engineer

Skip

. Own the high-level exoskeleton control architecture, from sensing and state estimation through assistance torque commands to the low-level motor controller .

Posted 11/6/2026full-timeSan Francisco • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing control systems for robotics and exoskeletons, with a strong foundation in control theory, state estimation, and sensor fusion. Proficient in deploying control code on embedded platforms and conducting experiments with human subjects to enhance system performance.

Highest-signal resume keywords

Control Systems DevelopmentC/C++ ProgrammingState Estimation and Sensor FusionHuman Subject TestingEmbedded Systems Deployment

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Hard Skills

Control TheoryKalman FilteringGait Phase EstimationActivity RecognitionTorque Profile DesignSimulation and ModelingData AnalysisMachine LearningReinforcement LearningBiomechanics

Soft Skills

Sense of HumourAdaptability

Tools & Technologies

MuJoCoOpenSimMATLAB/SimulinkEmbedded PlatformsAI Coding Tools

Industry Keywords

ExoskeletonsProstheticsHuman-in-the-Loop OptimizationLower-Limb ExoskeletonsPowered ProsthesesConsumer Electronics

Tech Stack

Tools & technologies

PythonC++

About the role

Key responsibilities & impact

Own the high-level exoskeleton control architecture, from sensing and state estimation through assistance torque commands to the low-level motor controller
Develop and tune gait phase estimation, activity recognition and transition detection for level walking, stairs, slopes and sit-to-stand using IMU, encoder and torque sensor data
Design assistance strategies and torque profiles that adapt to different users, speeds and terrain, including human-in-the-loop optimization
Explore and deploy learning-based control methods where they outperform classical approaches and run them reliably on embedded hardware
Build and maintain simulation and modeling tools such as MuJoCo, OpenSim and MATLAB/Simulink
Define and own safety behaviors, fault handling and edge-case responses so the device fails gracefully on the body
Plan and run human subject testing and data collection and turn the data into controller improvements
Guide design and development decisions for future product iterations and Movewear systems, including sensor selection, actuator requirements and compute needs
Wear prototypes several hours per week for data collection, on-body testing and feedback
Work closely with firmware, mechatronics and product teams
Participate in team events

Requirements

What you’ll need

5+ years' experience developing control systems for robotics, exoskeletons, prosthetics or other physical systems that interact with people
Strong foundation in control theory, state estimation and sensor fusion, including Kalman filtering
Experience taking controllers from simulation to real hardware, including tuning and debugging on physical systems
Proficiency in C/C++ and Python
Experience deploying control code on real-time or embedded platforms
Experience designing and running experiments with human subjects or real-world users and analyzing the resulting data
Familiarity with biomechanics and human gait
Experience with design for systems at scale, with a focus on testing and validation
Ability to work at the Skip Bay Area office more than 3 days per week
Sense of humour, tolerant of Aussie and Canadian spelling
Experience with lower-limb exoskeletons or powered prostheses is a bonus
Experience with ML-based or reinforcement learning controllers deployed on real robots is a bonus
Familiarity with series elastic actuators and torque-controlled drives is a bonus
Experience with powered consumer electronics is a bonus
Experience in startup environments and using AI coding tools is a bonus
Personal motivation to improve human movement is a bonus

Benefits

Comp & perks

Opportunity to work on products intended to restore mobility and enable joyful movement experiences
Direct contribution to product development in a 28-person early-stage startup
Leadership for critical systems as an individual contributor
Participation in future Movewear systems and product iterations
Full-time hybrid work arrangement
Opportunity to participate in data collection and on-body prototype testing