物联网工程师

Responsibilities

• Lead the roadmap planning for AGV navigation technology, focusing on technical breakthroughs in perception algorithms, localization solutions, and path planning to solve navigation pain points for multiple chassis in complex scenarios.
• Lead the team in technology pre-research and project development, set phased R&D goals, control the progress of technical challenges, promote code standards and testing standards, and ensure R&D quality and efficiency.
• Deeply participate in the design and implementation of key technologies, provide technical solutions in chassis model adaptation, sensor fusion algorithms, and other areas, and solve bottleneck problems in actual R&D.
• Interface with product, production, and other teams to transform technical achievements into implementable AGV navigation solutions, output technical documents and parameter standards, and support product iteration and project delivery.
• Cultivate team members' technical capabilities, build a technical sharing mechanism, promote the accumulation of R&D experience, and enhance the team's professionalism in the AGV navigation field.

Must Have

• Master's degree or above in robotics, automation, computer science, electronic information, or related fields;
• 8+ years of R&D experience in AGV navigation technology, including 3+ years of team leadership experience;
• Proficient in AGV chassis control principles, deep understanding of kinematic models and control logic of different chassis such as steering wheel, differential wheel, and tracked wheel, with actual experience in multi-chassis navigation solution design;
• Solid technical accumulation in perception (laser/visual SLAM, environment modeling), localization (GNSS+IMU fusion, odometer calibration), path planning (A*, IRT* algorithm optimization), and led at least one core algorithm from 0 to 1;
• Familiar with programming languages such as C/C++ and Python, proficient in tools such as ROS and MATLAB/Simulink, with practical algorithm engineering experience;
• Capable of technical team goal decomposition and progress management, able to effectively coordinate resources to drive R&D projects, and encourage team technical innovation and trial and error.