Senior Embodied AI Engineer - Controls
Core
Develop and validate advanced control and learning algorithms for autonomous heavy machinery fleets operating in harsh environments.
Role type
Senior IC embodied AI engineer (controls)
Builds
AI-powered autonomous fleets of bulldozers, loaders, and excavators
Domain
Mining and heavy construction
Deliverable
production ML models
Required skills
MPC, adaptive control, system identification, reinforcement learning, imitation learning, optimization for dynamic systems, Python, C++, high-fidelity simulation (Isaac Sim, Omniverse, Mujoco)
Preferred skills
Classical control theory, real-time robotics application development
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 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.
