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Figure

Systems Integration Engineer - Actuation Systems

San Jose, CAFrom $150kmidAdded 1 month ago

About this role

Figure, an AI robotics company developing humanoid robots, seeks a Systems Integration Engineer to oversee actuator deployment and performance across mechanical, electrical, controls, and software teams. This role involves hands-on debugging, control tuning, testing automation, and end-to-line bring-up to ensure robust, high-performance actuation systems.

What you'll do

  • Collaborate on system-level actuator deployment, interfaces, and robot-level performance
  • Define and execute design-validation and production-scale test plans with documentation
  • Integrate sensing and feedback systems into real-time control architectures
  • Develop real-time diagnostic algorithms and fallback strategies
  • Debug mechanical, electrical, and software integration issues using diagnostic tools
  • Tune controllers, conduct system identification, and build test automation infrastructure

What they're looking for

  • Robotic and electromechanical systems design (5+ years)
  • MATLAB and Python programming
  • Sensor integration and control tuning
  • Mechanics, kinematics, controls, dynamics, and sensor technologies
  • Linux-based development and C++ code reading
  • Lab equipment operation and instrumentation
  • System identification and data analysis
  • CAD proficiency (bonus)

Benefits

  • Competitive base salary: $150,000–$250,000 annually
  • Full-time position with comprehensive compensation package
  • Work on cutting-edge humanoid robotics technology
  • Collaborative environment across cross-functional teams
  • 5 days/week in-office in San Jose, CA
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Figure

Figure develops advanced humanoid robots powered by AI technology. The company is hiring engineers across mechanical design, firmware development, manufacturing, quality assurance, and security to build and refine its autonomous robotic systems.

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Likely interview questions

  • Walk us through a specific project where you integrated actuators into a robotic system—what were the key challenges in getting sensor feedback and control loops working together?
  • Describe your experience with control tuning and system identification. How have you characterized actuator performance and validated that it met your targets?
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