Develop control algorithms for autonomous operations of heavy machinery (excavators, cranes, bulldozers)
Develop robotic manipulation and locomotion control algorithms for complex construction machinery
Design and implement task-specific motion planning and collision avoidance algorithms for autonomous operations in unstructured environments
Develop state estimation algorithms for joint states and odometry using sensors such as GNSS, IMU, and tilt sensors
Verify controller performance and tune algorithms through extensive, hands-on testing on real-world machinery, including occasional multi-day business trips to field sites within Japan
Integrate control modules with the company's core robotics software architecture, ensuring robustness and performance
Combine simulation and field experiments for testing and verification of algorithms
Requirements
Master’s degree in Robotics, Computer Science, or a related field; or equivalent professional experience
Development experience in one or more of: motion planning, trajectory optimization, control theory, state estimation, or optimal control
2+ years of professional experience developing production-level software as part of an engineering team
High proficiency in modern C++ and Python within a Linux environment
Excellent communication skills, with the ability to proactively engage with various stakeholders
Proficiency in English
(Preferred) Experience in industrial robotics, autonomous vehicles, or heavy machinery with complex hydraulic systems
(Preferred) Expertise in modeling the dynamics of complex multi-body systems
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