Robotics Integration Engineer

Figure•San Jose, CA

65d•$170,000 - $250,000•Onsite

About The Position

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. We are seeking a Robotics Integration Engineer to drive system-level integration and validation 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.

Requirements

Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, or a related field.
3–5+ years of experience working with complex robotic or electromechanical systems.
Proficiency in C++ and Python for software development, scripting, and debugging.
Strong system-level understanding across hardware, firmware, and software layers.
Experience with Linux, Git, and standard diagnostic tools (oscilloscope, multimeter, log analyzers).
Hands-on experience validating real-time control systems, behaviors, or perception pipelines.
Ability to thrive in a fast-paced, lab-focused R&D and production environment.

Nice To Haves

Experience with humanoid or legged robots.
Familiarity with ROS2, behavior trees, or motion planning frameworks.
Background in hardware bring-up, calibration systems, or production-level validation.
Exposure to high-reliability or safety-critical robotic systems.

Responsibilities

Integrate and validate system-level changes across hardware, controls, behavior, AI, and perception subsystems.
Architect and execute bring-up, validation, and end-of-line (EOL) test processes for humanoid robots.
Develop test tools and automation scripts in C++ and Python to streamline integration and data analysis.
Design and run validation plans that stress full-robot functionality across real-world use cases.
Debug and triage cross-disciplinary issues spanning mechanical, electrical, firmware, and software systems.
Collaborate with design, controls, behaviors and software teams to define testable behaviors and verify subsystem performance.
Instrument robots using diagnostic tools (oscilloscopes, logic analyzers, telemetry logs) to characterize performance and identify failure modes.
Build dashboards, metrics, and reports to track system performance and fleet health over time.
Document integration workflows, test results, and lessons learned to improve future build efficiency.
Contribute to the automation of regression testing and continuous validation across the robot fleet.