Senior Embodied AI Engineer - Controls

About AIM Everything humanity depends on is mined, dug, or grown. At AIM, we are building the autonomous linchpin of civilization. We transform heavy machinery—bulldozers, loaders, excavators—into AI-powered fleets that operate continuously, safely, and at peak performance in the world’s harshest environments. AIM runs production mines, large scale infrastructure builds, and defense operations as a TRL9 hardened system, not a science experiment. Built by engineers from mining, construction, Waymo, SpaceX, Google and Tesla, AIM enables scalable earthmoving, turbocharging the global economy’s physical foundation. AIM is backed by some of the most sophisticated capital in the world, including General Catalyst, Khosla Ventures, Elad Gil, Human Capital, Ironspring Ventures, Mantis, DCVC. Responsibilities Automate, Develop, implement, and validate advanced control and learning algorithms for real-world embodied robotic systems. Design and conduct experiments to expand control robustness, precision, and adaptability across diverse tasks and environments. Combine classical and learning-based control methods (e.g., MPC, IL, RL) for scalable and reliable skill acquisition. Collaborate with perception and systems engineers to integrate AI control stacks into production platforms. Leverage simulation, digital twins, and expert demonstrations to accelerate control policy development and deployment. Stay up-to-date on cutting-edge research in control theory, reinforcement learning, and emb