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Field AI

Builds AI that guides robots through changing sites

Humanoid Engineer - Manipulation

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeIrvine, CA, USANo salary listedIn-person

About the Job

Requirements

  • A preferred Master of Science or Doctor of Philosophy degree in Robotics, Mechanical Engineering, Computer Science, or a related field; a Bachelor of Science degree is considered with a demonstrated track record of hands-on robotics work across multiple physical systems.
  • Hands-on experience with robotic manipulation, humanoids, mobile manipulation, dexterous hands, or contact-rich robotics involving physical hardware; simulation-only experience is not considered.
  • A strong foundation in kinematics, dynamics, motion planning, control, and real-robot experimentation.
  • Experience with C++, Python, Robot Operating System or Robot Operating System 2, and Linux in a real robotics codebase.
  • The ability to iterate quickly from experiments to working behavior on physical hardware, including running daily hardware experiments, analyzing failures, and adapting approaches in real time.
  • A background appropriate for a junior-to-mid-level engineer.

Responsibilities

  • 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.

Desired Qualifications

  • Experience with humanoid platforms or contact-rich, dexterous manipulation systems, including robots with hands rather than only grippers.
  • A background in robot learning applied to physical hardware, including imitation learning, reinforcement learning, or task and motion planning validated on a real robot.
  • Experience taking a manipulation capability from prototype to reliable, repeatable field behavior.
  • A track record of building manipulation evaluation frameworks, including test suites, success and failure metrics, and documentation for learning from failures.

About the Company

Field AI

Builds AI that guides robots through changing sites

Field AI builds autonomy software that lets mobile robots inspect and work in changing environments, including construction sites and industrial facilities. Its Field Foundation Models act as a shared control system for different machines, bringing perception, navigation and task planning together on the robot. Cameras and other sensors feed the system, while the platform sends site data into customers' project tools to track progress, record conditions and identify deviations from plans. The company sells commercial autonomy solutions and deployment services, integrating its software with robot manufacturers' equipment. Field AI was founded in 2023 and is headquartered in Irvine, California.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1.1B
Headquarters
Irvine, CA
Founded
2023

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