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Faraday Future

Designs, manufactures, and sells electric vehicles

Senior Locomotion Control Engineer

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeEl Segundo, CA, USA$110k - $135k /yrIn-person

About the Job

Requirements

  • A master's degree or above in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
  • At least 5 years of experience developing robotics locomotion, motion control, or autonomous robotic systems.
  • At least 3 years of hands-on experience supporting quadruped, humanoid, or legged robot development and deployment.
  • A strong foundation in robotics, including dynamics, kinematics, estimation, and control theory.
  • Hands-on experience with at least one locomotion approach, such as model predictive control, 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.
  • Ability to diagnose real-system failures and translate observations into actionable control or systems improvements.

Responsibilities

  • Design, implement, and optimize robot locomotion systems, including gait generation, balance control, and terrain adaptation.
  • Develop and improve locomotion controllers using model predictive control, 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.

Desired Qualifications

  • Experience with reinforcement learning 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.

About the Company

Faraday Future

Designs, manufactures, and sells electric vehicles

Faraday Future focuses on electric mobility by designing, manufacturing, and selling smart electric vehicles and related services. Its products are electric cars and mobility solutions that integrate software and hardware to deliver a connected, autonomous-ready driving experience. The company differentiates itself by building a broader intelligent mobility ecosystem that links vehicles with services and technologies for connectivity, automation, and sustainable transportation, targeting both individual consumers and business clients. Its goal is to provide a seamless, integrated mobility experience that improves how people live, move, connect, and breathe, while advancing sustainable transportation through electric and connected technologies.

Company size
501-1,000
Company stage
IPO
Headquarters
Gardena, CA
Founded
2014

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