Extracted from the posting
TL;DR
Lead development of reinforcement learning locomotion controllers for legged and humanoid robots, validated on hardware and deployed in the field. Work covers domain-randomized sim-to-real transfer, imitation learning from human motion data, and terrain-aware locomotion. Stack: RL for continuous control, Isaac Gym/Lab, MuJoCo, PyTorch/JAX, Python/C++ on Linux.
The full posting
FieldAI
âs Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern Californiaâs 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.
About the Job
Field AI is building the future of autonomyâfrom rugged terrain to real-world deployment. Weâre on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments. As our Robotics Autonomy Engineer â Locomotion, youâll lead the development and deployment of state-of-the-art controllers for legged and humanoid robots. Youâll be part of a deeply technical team advancing real-world robotic capabilities through cutting-edge research, simulation tools, and field validation. If designing locomotion systems that can navigate complex, dynamic environments excites you, and you want to work where your code hits the ground (literally)âthis is your role. This is Field AI.
What Youâll Get To Do
What You Have
The Extras That Set You Apart
Our salary range is generous and we consider each individualâs 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 roboticsâ 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.
Compensation: USD 100,000 â 230,000 per year salary