pythonc++linuxreinforcement learningroboticsrosslambehavior planningpath planningrobot control
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Hirify AI/Оригинал
TL;DR
Software Engineer (Robotics): Developing behavior, planning, and control strategies for autonomous cleaning robots with an accent on multi-floor navigation, docking control, and real-time decision-making. Focus on optimizing global and local planners, integrating SLAM and perception systems, and building simulation and real-world testing pipelines for reliable robot operation.
Location: Remote, South Korea
Company
hirify.global develops autonomous cleaning robots and software for managing a global fleet of robotic systems.
What you will do
Design and implement modular behavior tree architectures for robust robot decision-making.
Develop and optimize global planning algorithms such as A*, D*, RRT*, and PRM for dynamic environments.
Design and tune local planners and controllers, including MPC, TEB, and DWA, for safe and smooth robot motion.
Optimize planning and control systems for real-time performance and control-loop timing guarantees.
Collaborate with SLAM and Perception engineers on navigation, mapping, and sensor integration.
Develop test cases for algorithms and software in simulated and real-world environments, and maintain implementation and test documentation.
Requirements
Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field; a relevant PhD is also considered.
3+ years of industry experience developing and deploying behavior, planning, and control systems for autonomous robots.
Proficiency in C++ and Python development on Linux.
Experience with ROS1 or ROS2 and behavior planning frameworks such as BehaviorTree.CPP.
Strong knowledge of data structures, algorithms, kinematics, dynamics, control theory, and global and local path planning.
Experience with sensors such as LiDAR, RGBD cameras, and IMUs, plus strong debugging and problem-solving skills.
Nice to have
Experience applying reinforcement learning to behavior, planning, or control.
Experience optimizing software for embedded hardware such as Jetson or ARM platforms.
Culture & Benefits
Remote full-time position within the Research & Development department.
Independent ownership of deliverables and close collaboration with engineering specialists.
Opportunity to contribute to autonomous systems deployed in real-world cleaning operations.
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