Senior Locomotion Control Engineer

The role

The Senior Locomotion Control Engineer will lead the design, implementation, and real-world deployment of robot motion capabilities. This role involves building locomotion systems for gait, balance, terrain adaptation, and control integration across simulation and hardware.

What you will do

• Design, implement, and optimize robot locomotion systems including gait generation, balance control, and terrain adaptation.
• Develop and improve locomotion controllers using MPC, whole-body control, reinforcement learning, or hybrid control approaches.
• Own the full loop from simulation to hardware deployment including controller tuning, regression validation, and failure analysis.
• Improve robot stability, robustness, safety, and energy efficiency in real-world operating conditions.
• Work closely with runtime, simulation, behavior, and hardware teams to define clean interfaces and reliable integration paths.
• Support real-robot bring-up, debugging, performance analysis, and root-cause investigation for motion failures.
• Contribute to control architecture decisions, testing methodology, and technical roadmap planning for motion control capabilities.

Required qualifications

• Master’s degree or above in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• 5+ years of experience developing robotics locomotion, motion control, or autonomous robotic systems.
• 3+ years of hands-on experience supporting quadruped, humanoid, or legged robot development and deployment.
• Strong foundation in robotics, including dynamics, kinematics, estimation, and control theory.
• Hands-on experience with at least one locomotion approach such as MPC, whole-body control, reinforcement learning locomotion, or heuristic gait control.
• Strong C++ skills for production robotics software development.
• Proficiency in Python for research workflows, simulation, tooling, and analysis.
• Experience deploying algorithms on real robots, ideally quadrupeds, humanoids, or mobile manipulation systems.
• Prior experience deploying locomotion or control algorithms on physical robots is required.
• Ability to diagnose real-system failures and translate observations into actionable control or systems improvements.

Nice to have

• Experience with RL locomotion, imitation learning, or policy-based control for physical robots.
• Experience with sim-to-real workflows, including 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, or whole-body coordination.
• Track record of shipping motion capabilities from prototype to robust field performance.

Benefits

• Healthcare + dental + vision benefits (Free for you/discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment
• Culturally diverse, progressive atmosphere

About the company

Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company. They produce user-centric, technology-first vehicles and robots to establish new paradigms in human-AI interaction.