Robotics Engineer, Humanoid System Integration

FieldAI's Irvine team builds embodied AI systems for humanoid robots deployed in real‑world field applications. This role focuses on integrating humanoid subsystems into reliable full‑stack robot systems, owning the complete lifecycle from bring‑up and calibration through field deployment and validation. What You'll Do Integrate humanoid subsystems and define interfaces across autonomy, manipulation, locomotion, sensors, compute, controls, and field tools Own robot bring‑up, calibration, configuration, diagnostics, and validation workflows on physical hardware Debug system‑level issues across software, hardware, networking, timing, compute constraints, sensor data, and robot behavior Develop integration tests, regression tests, telemetry tools, dashboards, and release‑readiness checks Partner with manipulation, hardware, QA/QC, field application, and service teams to maintain continuously shippable humanoid platforms What You Need MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related field; BS with demonstrated hands‑on robotics work across multiple physical systems also considered Strong hands‑on experience integrating robotic systems on real hardware (simulation‑only backgrounds will not be considered) Strong C++ and Python skills in Linux‑based robotics environments Experience with ROS/ROS2, robot middleware, drivers, calibration, diagnostics, logging, and distributed systems Understanding of perception, planning, controls, locomotion, manipulation, sensor integration, and embedded compute constraints; ability to profile performance, isolate failures, and coordinate across technical teams Nice to Have Experience integrating a humanoid or legged/mobile manipulation platform from bring‑up through field deployment Proven ability to own interfaces between locomotion, manipulation, and perception and debug failures across those seams on real hardware Track record building tooling that accelerates other engineers: calibration pipelines, regression harnesses, telemetry dashboards, or release gates #J-18808-Ljbffr