Figure is a Bay Area robotics startup building AI-powered humanoid robots for industrial tasks such as warehouse and factory work.
<p><span style="font-weight: 400;">Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration. </span></p> <p>We are seeking a<strong> Robotics Integration Engineer</strong> to drive <strong>system-level integration and validation</strong> across hardware, firmware, controls, AI, perception, and software. You will plan, execute, and oversee subsystem integration and full-system bring-up, ensuring reliable performance and consistency across the entire robot ecosystem. This is a highly technical, hands-on role focused on debugging, root cause analysis, and validating system functionality to make humanoid robots perform reliably in the real world.</p> <p><strong>Responsibilities: </strong></p> <ul> <li>Integrate and validate system-level changes across hardware, controls, behavior, AI, and perception subsystems.</li> <li>Architect and execute bring-up, validation, and end-of-line (EOL) test processes for humanoid robots.</li> <li>Develop test tools and automation scripts in <strong>C++</strong> and <strong>Python</strong> to streamline integration and data analysis.</li> <li>Design and run validation plans that stress full-robot functionality across real-world use cases.</li> <li>Debug and triage cross-disciplinary issues spanning mechanical, electrical, firmware, and software systems.</li> <li>Collaborate with design, controls, behaviors and software teams to define testable behaviors and verify subsystem performance.</li> <li>Instrument robots using diagnostic tools (oscilloscopes, logic analyzers, telemetry logs) to characterize performance and identify failure modes.</li> <li>Build dashboards, metrics, and reports to track system performance and fleet health over time.</li> <li>Document integration workflows, test results, and lessons learned to improve future build efficiency.</li> <li>Contribute to the automation of regression testing and continuous validation across the robot fleet.</li> </ul> <p><strong>Requirements: </strong></p> <ul> <li>Bachelor’s or Master’s degree in <strong>Robotics, Electrical Engineering, Mechanical Engineering, Computer Science</strong>, or a related field.</li> <li><strong>3–5+ years</strong> of experience working with complex robotic or electromechanical systems.</li> <li>Proficiency in <strong>C++</strong> and <strong>Python</strong> for software development, scripting, and debugging.</li> <li>Strong system-level understanding across hardware, firmware, and software layers.</li> <li>Experience with <strong>Linux</strong>, <strong>Git</strong>, and standard diagnostic tools (oscilloscope, multimeter, log analyzers).</li> <li>Hands-on experience validating real-time control systems, behaviors, or perception pipelines.</li> <li>Ability to thrive in a fast-paced, lab-focused R&D and production environment.</li> </ul> <p><span style="font-weight: 400;"><strong>Bonus Qualifications: </strong><br></span></p> <ul> <li>Experience with humanoid or legged robots.</li> <li>Familiarity with ROS2, behavior trees, or motion planning frameworks.</li> <li>Background in hardware bring-up, calibration systems, or production-level validation.</li> <li>Exposure to high-reliability or safety-critical robotic systems.</li> </ul> <p>The US base salary range for this full-time position is between $170,000 - $250,000 annually.</p> <p>The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. </p>