Salary not disclosed
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Role overview
Job description
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 whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world. Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like. We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
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About this listing
- Source: FieldAI's official careers site · still listed there on 9 Nov 2026
- Posted 25 Jun 2026
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What they are looking for
Skills & requirements
Qualification
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; Background appropriate for a junior-to-mid engineer; fresh MS and PhD graduates welcome
Department · Engineering
Hiring company
FieldAI
FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.
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