Senior Embodied AI Engineer - Controls
Aim · Seattle
About this role
## About AIM Everything humanity depends on is mined, dug, or grown. At AIM, we are building the autonomous linchpin of civilization—transforming 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. Learn more: https://aim.vision/about --- ## 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 embodied AI. --- ## Qualifications - 5+ years industry experience. - Proven experience delivering production-level robotic control systems in real-world deployments (e.g., autonomous vehicles, manipulators, humanoid or mobile robots). - Strong foundation in modern control techniques (e.g., MPC, adaptive control, system identification) and their integration with learning-based methods. - Deep understanding of reinforcement learning, imitation learning, and optimization for dynamic systems. - Proficiency in Python and familiarity with C++ for real-time robotics applications. - Experience working with high-fidelity simulators (e.g., Isaac Sim, Omniverse, MuJoCo) for control development and testing. - Excellent communication and teamwork skills, with the ability to bridge between AI research and robotic systems engineering.
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