Field AI
Robotics Engineer, Humanoid System Integration
Irvine, CA · On-site · Full-time · Posted Jun 26, 2026
- Experience
- Background appropriate for a junior-to-mid engineer; fresh MS and PhD graduates welcome. No specific number of years stated.
- Education
- MS or PhD preferred; BS considered with a demonstrated track record of hands-on robotics work across multiple physical systems.
About the job
Integrates humanoid robot hardware and software subsystems into reliable, testable systems ready for field deployment.
What you'll do
- Integrate robot subsystems and define interfaces across autonomy, sensors, controls, and field tools.
- Own robot bring-up, calibration, diagnostics, validation, and system-level debugging on physical hardware.
- Build integration and regression tests, telemetry tools, dashboards, and release-readiness checks.
What they ask for
- Hands-on experience integrating robotic systems on physical hardware; simulation-only experience is not 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.
Nice to have
- MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field; BS considered with a demonstrated hands-on robotics track record.
- Experience integrating humanoid or legged/mobile manipulation platforms through field deployment.
Tools
C++, Python, Linux, ROS/ROS2
AI focus
Integrates embodied AI and autonomy capabilities—including perception, planning, localization, and manipulation—into humanoid robots for reliable real-world deployment.
Model-written summary · the original posting is authoritative