- 3+ years of experience in an industry or startup robotics setting
- Experience with loco-manipulation on legged platforms or whole-body model predictive control for humanoids
- Experience fine tuning or deploying vision language action models on real robots
- Experience building teleoperation and demonstration data collection pipelines at scale
- Experience with cross embodiment or generalist manipulation policies that transfer across robots and tasks
- Experience with dexterous multi fingered hands, or with tactile and force torque sensing in closed loop manipulation
- Experience optimizing and deploying learning based controllers on resource constrained robotic platforms (ONNX Runtime, NVIDIA TensorRT, real time onboard inference)
- Publications or open-source contributions in manipulation, whole-body control, or robot learning (e.g., CoRL, RSS, ICRA, IROS)
- Familiarity with ROS/ROS2 or custom middleware for real-time control
- Experience debugging sim-to-real issues at scale
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.