{"id":818682,"url":"https://alion.io/job/shiftrobotics-gait-control-engineer","title":"Gait Control Engineer","company":{"id":688408,"name":"Shift Robotics","domain":"shiftrobotics.io","url":"https://alion.io/company/shiftrobotics","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Robotics","role_family":"Robotics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":252000,"period":"year","method":"role_country_seniority_unknown","sample_n":590},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"MATLAB","optional":false},{"name":"MuJoCo","optional":false},{"name":"Python","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"Simulink","optional":false},{"name":"Model Predictive Control","optional":true},{"name":"RTOS","optional":true}],"status":"live","first_seen_at":"2026-03-12T00:00:00Z","employer_posted_date":"2026-03-12","last_verified_at":"2026-11-06T12:51:22Z","board_verified":true,"closed_at":null,"days_open":239,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":239},"description":"About Shift Robotics\nWe’re making the world a more walkable place. Through intuitive personal mobility, we make walking faster, more efficient, and more accessible to empower people to choose walking over sitting in traffic. By giving people the ability to Moonwalk, we believe the path forward to a better future is easily reached on your own two feet.\nOur flagship product, Moonwalkers, are the world’s fastest robotic shoes, augmenting natural walking with intelligent locomotion assistance. By giving people the ability to Moonwalk, we believe the path toward a more human-scale future can be reached on your own two feet.\nWe are building the next generation of Moonwalkers and are looking for engineers who thrive in fast-paced environments where hardware, software, and human motion intersect.\nWe are covered in Wired, CNET, Gizomodo, PCMag and many other tech press.\nRole Overview\nThe Gait Control Engineer will lead the development of locomotion control algorithms for Shift’s robotic footwear platform. This role focuses on designing, implementing, and deploying robust control and estimation algorithms that enable safe, intuitive, and responsive human-machine interaction.\nYou will work closely with mechanical, electrical, and firmware teams to develop algorithms that run reliably on embedded systems while handling real-world variability in human gait and terrain.\nThis role requires strong intuition for human locomotion, control systems, and embedded algorithm implementation.\nResponsibilities:\nLocomotion Control Development\nDesign and implement gait control algorithms for wearable robotic systems.\nDevelop control strategies for walking assistance across different user speeds, terrain conditions, and gait phases.\nImplement and validate locomotion controllers on embedded hardware.\nState Estimation & Sensor Fusion\nDevelop real-time estimation algorithms using IMU, force sensors, encoders, and other onboard sensors.\nImplement sensor fusion pipelines for gait phase detection, motion estimation, and intent recognition.\nEnsure algorithms remain robust under noisy real-world conditions.\nAlgorithm Prototyping & Validation\nPrototype algorithms in Python or MATLAB before deploying to embedded systems.\nEvaluate control strategies using simulation tools (e.g., MuJoCo, Simulink, or custom simulation environments).\nDesign experiments and analyze data from real hardware testing.\nEmbedded Implementation\nTranslate algorithms into efficient C/C++ implementations for real-time embedded systems.\nOptimize algorithms for low-latency execution on resource-constrained processors.\nWork with firmware engineers to integrate control algorithms into production software.\nSystem Integration\nCollaborate with mechanical and electrical engineers on actuator selection, sensor placement, and system architecture.\nEnsure control algorithms meet performance, safety, and reliability requirements.\nIdentify system limitations and propose improvements in hardware or software.\nRequirements\nEducation:\nMS or PhD in Robotics, Mechanical Engineering, Electrical Engineering, or related field\nExperience:\n2+ years experience developing control algorithms for:\nwearable robotics\nlegged robots\npowered prosthetics\nexoskeletons\nhumanoid locomotion\nTechnical Skills:\nStrong understanding of:\nControl systems\nMultibody dynamics\nHuman locomotion\nState estimation\nSensor fusion\nExperience with:\nReal-time control implementation in C/C++\nAlgorithm prototyping using Python or MATLAB\nEmbedded systems development\nProcessing IMU and force sensor data\nDebugging real-time robotic systems\nPreferred Qualifications:\nExperience with one or more of the following:\nGait phase detection and intent recognition\nModel-based control (e.g., MPC, optimal control)\nExtended Kalman Filters or nonlinear state estimation\nRTOS-based embedded systems\nARM Cortex microcontrollers\nReal-time signal processing\nSimulation tools such as MuJoCo, Simulink, or OpenSim\nExperience working on production robotics systems or shipping hardware products is highly valued.\nBenefits\nCompetitive salary and equity participation\n401(k) retirement plan\nMedical, dental, and vision insurance\nFlexible vacation policy\nPaid holidays\nA collaborative, fast-moving engineering environment\nOpportunity to shape the future of personal mobility","description_format":"text","description_chars":4288,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible vacation policy","Retirement plans","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Exoskeletons & Wearable Robotics"],"lifecycle":[{"event":"open","at":"2026-09-12T12:11:40Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B 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