Embedded Actuation Engineer

FigureSan Jose, CA
6d$120,000 - $225,000

About The Position

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are looking for an experienced Embedded Actuation Engineer on Systems Integration & Test to develop, implement and tune control algorithms for the robot actuators. This role will work closely with cross-functional teams to ensure the delivery of robust, high-performance actuation solutions for our humanoid.

Requirements

  • 5+ years of hands-on experience developing robust C++ and Python code for embedded systems for high-performance motion control.
  • Proven expertise in designing control architectures, control synthesis and tuning, system identification, and feedback linearization.
  • Multidisciplinary knowledge spanning controls engineering, mechanical dynamics and data processing
  • Exceptional communication and planning skills, with an ability to document and present findings to technical teams effectively.
  • Demonstrated experience in the integration and deployment of new, custom mechatronic systems for real-world applications.
  • Resilient and effective in fast-paced, challenging environments.
  • Competency in hands-on work within a lab setting, alongside strong engineering analysis capabilities.
  • Passionate about delivering a rock-solid actuation system
  • MS degree in science or engineering

Nice To Haves

  • Prior experience working in robotics
  • Prior experience working with humanoids
  • Numerical modeling expertise

Responsibilities

  • Architect signal routing and processing of actuator data in our real-time stack
  • Manage actuator parameter storage, loading, and retrieval
  • Implement high performance actuation algorithms, in particular for closed loop torque control
  • Implement signal injection algorithms for system identification purposes
  • Implement failure fallback strategies
  • Implement real-time observers to enhance diagnostics and serve as alternative feedback for fallback strategies.
  • Implement post-processing diagnostics for detecting actuator failures and improving the pace of failure analysis
  • Acquire in-depth cross-disciplinary knowledge of actuation subsystems to drive ongoing technology development.
  • Conduct testing for algorithm validation and tuning in collaboration with test engineers, and generate high-quality reports to inform and influence engineering decisions.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service