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Robotics Engineer - FF Academy (4 Openings)

AlxCrypto Holdings Inc.
Los Angeles Posted Oct 15, 2026
Full-time

About this role

About the Role

We are seeking a Robotics Engineer to join our Engineering team and help design, build, and deploy robotic and automated systems that support FF's vehicle production and next-generation mobility products. You will work at the intersection of mechanical design, electrical/controls engineering, and software, developing robotic solutions that improve manufacturing efficiency, quality, and safety.

Key Responsibilities

  • Design, prototype, and integrate robotic manipulators, AGVs, end-effectors, and fixtures used in vehicle assembly and testing

  • Develop and tune motion control, kinematics, and path-planning algorithms; program industrial robots (FANUC, KUKA, ABB, or similar) and PLC-based automation systems

  • Integrate vision systems, force/torque sensors, and other feedback devices for adaptive robotic operations

  • Build and run test plans to validate robotic cell performance, cycle time, repeatability, and safety compliance

  • Collaborate cross-functionally with manufacturing, industrial engineering, and product design teams

  • Maintain technical documentation including design specs, risk assessments, and SOPs

  • Identify opportunities to improve throughput, reduce downtime, and increase reliability of existing systems

  • Basic Qualifications

  • Bachelor's degree in Robotics, Mechanical Engineering, Electrical Engineering, Mechatronics, Computer Engineering, or related field

  • 1-3+ years of hands-on experience designing, programming, or maintaining robotic or automated systems

  • Working knowledge of robot kinematics, motion control, and PLC/HMI programming

  • Proficiency in Python or C++

  • Experience with CAD software (SolidWorks, CATIA, or similar)

  • Strong problem-solving skills and comfort working hands-on with hardware

  • Preferred Qualifications

  • Experience with ROS/ROS2, robotic simulation tools (Gazebo, RoboDK), or digital twin platforms

  • Familiarity with automotive or high-volume manufacturing environments

  • Experience with machine vision systems (Cognex, Keyence) for robotic guidance or inspection

  • Fluency in English and Chinese is a plus

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