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Humanoid Engineer, Manipulation

Field AI
United Statesfull_timeVerifiedPosted 25 Jun 2026

About the role

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

What You'll Do

  • Design, implement, and evaluate humanoid manipulation and loco-manipulation behaviors on real hardware

  • Integrate perception, planning, control, grasping, whole-body coordination, and task execution into deployable robot workflows

  • Run hardware experiments, analyze failures, and improve manipulation reliability across diverse objects, environments, and tasks

  • Partner with system integration, hardware, field application, and testing teams to move capabilities from prototype to deployment

  • Support teleoperation, data collection, and human-in-the-loop workflows for improving manipulation performance

  • Build tools, metrics, and evaluation protocols for manipulation success, repeatability, failure recovery, and operator usability

  • Debug cross-domain issues spanning software, sensors, actuators, end-effectors, calibration, timing, and field conditions

What You Bring

  • MS or PhD in Robotics, Mechanical Engineering, Computer Science, or a related field preferred; BS considered with a demonstrated track record of hands-on robotics work across multiple physical systems — research projects, competition robotics, or internships with daily hardware exposure

  • Hands-on experience with robotic manipulation, humanoids, mobile manipulation, dexterous hands, or contact-rich robotics — must include physical hardware; simulation-only backgrounds will not be considered

  • Strong foundation in kinematics, dynamics, motion planning, control, and real robot experimentation

  • Experience with C++, Python, ROS/ROS2, and Linux in a real robotics codebase

  • Demonstrated ability to iterate quickly from experiment to working behavior on physical hardware; comfortable running daily hardware experiments, analyzing failures, and adapting approach in real-time

  • Background appropriate for a junior-to-mid engineer; fresh MS and PhD graduates welcome

What Sets You Apart

  • Experience with humanoid platforms or contact-rich, dexterous manipulation systems — you've worked with robots that have hands, not just grippers

  • Background in robot learning applied to physical hardware: imitation learning, reinforcement learning, or task and motion planning that you've validated on a real robot, not just in simulation

  • You've taken a manipulation capability from prototype to reliable, repeatable field behavior — you know what it takes to close that gap and you've done it

  • Track record of building evaluation frameworks for manipulation: test suites, metrics for success and failure, and the discipline to document and learn from what breaks

Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboa

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Company

Field AI

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