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Senior Locomotion Control Engineer

Faraday Future
Posted a month ago, valid for 20 days
Location

El Segundo, CA, US

Salary

$110,000 - $135,000 per year

Contract type

Full Time

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Sonic Summary

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  • Faraday Future is looking for a Senior Locomotion Control Engineer to lead the design and implementation of robot motion capabilities.
  • The role requires a Master's degree and at least 5 years of experience in robotics locomotion or motion control systems.
  • Candidates should have hands-on experience with quadruped or humanoid robots and a strong foundation in dynamics and control theory.
  • Proficiency in C++ and Python is necessary, along with experience deploying algorithms on real robots.
  • The annual salary for this position ranges from $110,000 to $135,000, depending on experience, along with benefits and incentive plans.

The Company:

Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility and robotics. We’re producing user-centric, technology-first vehicles and robots to establish new paradigms in human-AI interaction. We’re not just seeking to change how our cars and robots work – we’re seeking to change the way we drive and interact with machines. At FF, we’re creating something new, something connected, and something with a true global impact.

Your Role:

We are seeking a Senior Locomotion Control Engineer to lead the design, implementation, and real-world deployment of robot motion capabilities. This role is responsible for building robust locomotion systems that work reliably across simulation and hardware, and for driving the technical direction of gait, balance, terrain adaptation, and control integration.

Responsibilities:

  • 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.

Basic 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.

Preferred Qualifications:

  • 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.

Annual Salary Range:

($110,000 - $135,000 DOE), plus benefits and incentive plans

 Perks + Benefits

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

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.




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