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15 часов назад

Senior Locomotion Control Engineer (Robotics)

110 000 - 135 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Locomotion Control Engineer (Robotics): Building and deploying robust locomotion systems for quadruped, humanoid, and other legged robots with an accent on gait generation, balance control, terrain adaptation, and simulation-to-hardware integration. Focus on developing MPC, whole-body, reinforcement learning, and hybrid controllers, diagnosing real-system failures, and improving stability, safety, and energy efficiency.

Location: El Segundo, California, United States

Annual salary: $110,000–$135,000 DOE, plus benefits and incentive plans

Company

hirify.global is a California-based embodied artificial intelligence company developing user-centric vehicles and robots for human-AI interaction.

What you will do

  • Design, implement, and optimize robot locomotion systems covering gait generation, balance control, and terrain adaptation.
  • Develop locomotion controllers using MPC, whole-body control, reinforcement learning, or hybrid control approaches.
  • Own the simulation-to-hardware loop, including controller tuning, regression validation, and failure analysis.
  • Improve robot stability, robustness, safety, and energy efficiency in real-world conditions.
  • Collaborate with runtime, simulation, behavior, and hardware teams on interfaces and integration.
  • Support real-robot bring-up, debugging, performance analysis, control architecture, and roadmap planning.

Requirements

  • Master’s degree or above in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
  • 5+ years of experience in robotics locomotion, motion control, or autonomous robotic systems, including 3+ years with quadruped, humanoid, or legged robots.
  • Strong knowledge of robotics dynamics, kinematics, estimation, and control theory.
  • Hands-on experience with locomotion approaches such as MPC, whole-body control, reinforcement learning locomotion, or heuristic gait control.
  • Strong C++ skills and proficiency in Python for research, simulation, tooling, and analysis.
  • Experience deploying locomotion or control algorithms on physical robots and diagnosing real-system failures.

Nice to have

  • Experience with reinforcement learning locomotion, imitation learning, or policy-based control.
  • Sim-to-real experience with actuator modeling, latency compensation, domain randomization, or system identification.
  • Familiarity with MuJoCo, Isaac, RaiSim, Gazebo, or equivalent simulation platforms.
  • Experience with real-time robotics systems, ROS 2, controller scheduling, and control-runtime integration.
  • Background in contact-rich control, force control, whole-body coordination, or shipping motion capabilities to field performance.

Culture & Benefits

  • Healthcare, dental, and vision benefits, free for employees and discounted for family.
  • 401(k) options.
  • Casual dress code and relaxed work environment.
  • Culturally diverse and progressive atmosphere.
  • Incentive plans in addition to base salary.

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