About us

AIM builds autonomy for the real world—robots that move mountains. Our systems bring together software, hardware, and robotics to turn heavy equipment into intelligent machines that reshape how earthmoving is done.

Operating these machines requires skills that adapt to changing terrain, material properties, loads, and contact conditions. We’re looking for a Staff-level or more senior Robotics Learning Engineer to lead the technical development of data-driven autonomy skills, helping our machines learn and improve from demonstrations, simulation, and experience. This is a hands-on individual-contributor role on our technical career track, with level matched to experience and scope at Staff, Senior Staff, Principal, or above.

About you

You have led complex robot-learning efforts from an ambiguous problem through implementation and physical deployment. You can set the technical direction, break an effort into practical milestones, and bring other engineers along while remaining deeply involved in the code, experiments, and machine behavior.

You have built and deployed policies using reinforcement learning, imitation learning, or behavior cloning. You can explain the decisions you owned, the alternatives you tested, and the evidence that established whether the system worked. You bring the judgment to d