15 часов назад
Senior Locomotion Control Engineer (Robotics)
110 000 - 135 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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