Job Title: Road Machinery 3D Guidance System Technical Manager (Smart Operations Focus)
Role & Responsibilities
Core Technology Planning
Technology Breakdown
: Deconstruct system requirements into core modules including multi-sensor fusion positioning (GNSS/IMU/LiDAR), high-precision control of hydraulic/electrical actuators (proportional/servo valve dynamic response optimization), and adaptive algorithms for complex site conditions (e.g., dynamic deformation compensation for soft subgrades). Establish priorities for technical breakthroughs.Technology Roadmapping
: Orchestrate the development pace across algorithm, hardware, and electrification modules. Define clear iteration targets (e.g., V1.0: centimeter-level positioning + rough grading control; V2.0: millimeter-level fine paving + dynamic compensation).System Architecture & Technical Breakthroughs
Design the end-to-end system architecture (Perception-Decision-Execution layers), defining interface standards (e.g., sensor data formats, control command protocols) to ensure interoperability and coordinated operation across equipment (Motor Graders, Rollers, Pavers, Millers).
- For
centimeter-level control
(Blade/Vibration Wheel elevation error ≤ ±2cm) on Graders/Rollers/Dozers, optimize multi-sensor fusion algorithms (e.g., RTK+IMU loosely-coupled positioning) to enhance positioning stability in dynamic environments. For
millimeter-level control
(Screed/Milling Drum elevation error ≤ ±1mm) on Pavers/Millers, lead the design of closed-loop hydraulic/electrical control schemes (e.g., servo valve + pressure feedback fine-tuning) to overcome actuator response lag under high-frequency vibrations.Cross-functional Collaboration & Implementation
Interface with Algorithm, Hardware, and Embedded Development teams to translate system definitions into actionable plans (e.g., "LiDAR-based real-time paving thickness compensation algorithm"). Coordinate resources to resolve development challenges (e.g., multi-sensor data synchronization, hydraulic valve bank response latency).
- Partner with Sales and Service teams to develop market rollout strategies. Participate in on-site customer validation (e.g., site immersion testing for millimeter-level accuracy), gathering field feedback to iteratively refine system functionality (e.g., parameter optimization for varying soil conditions).
Qualifications & Experience
Must-Have
Bachelor's degree or higher in Mechanical Engineering (Road Machinery focus), Automation, Computer Science, Geomatics Engineering, or a related field.
- 5+ years in intelligent assist/construction machinery
, with a
combined background in Product Definition and Technical Decomposition
: - Proven Technical Delivery
: Led the end-to-end technical implementation of at least one subgrade/paving intelligent system (e.g., Motor Grader 3D Leveling, Paver Auto-Control) from concept to completion. Deeply familiar with the precision requirements and operational logic of all earthwork phases (Fill, Grading, Compaction, Milling). - Core Technical Breakdown Skills
: Solid understanding in at least 2 of these domains: Multi-sensor Fusion Positioning, Hydraulic/Electrical Control Systems, Algorithm Optimization for Complex Scenarios. Demonstrated success in deconstructing and delivering complex tech (e.g., breaking down "Millimeter-level Paver Smoothness Control" into perception-actuation-feedback loops). - Practical knowledge of road construction workflows (e.g., layered filling, dynamic compaction) and equipment operational principles (e.g., grader blade control, paver screed adjustment). Understands hydraulic system fundamentals (e.g., pressure-flow characteristics, valve control circuits).
Project Management capability and experience collaborating across multi-disciplinary teams.
Soft Skills
Systems Thinking & Technical Decomposition
: Ability to translate site needs (e.g., "High-precision flatness control on unstable ground") into actionable technical modules (e.g., sensor fusion optimization, hydraulic valve dynamic response enhancement), creating phased implementation paths.- Complex Problem-Solving
: Skill in coordinating Algorithm, Hardware, and Electrification resources to resolve technical trade-offs (e.g., sensor accuracy vs. cost, hydraulic response latency vs. command matching). - Industry Insight
: Stays current on smart construction trends. Quickly grasps the application potential of emerging technologies in earthworks (e.g., AI-driven adaptive control).
Preferred
- Experience with leading construction machinery OEMs (e.g., Komatsu, Caterpillar), intelligent assist solution providers (Trimble, Leica, Topcon, Moba, Unicontrol), or geomatics/algorithm firms.
- Familiarity with the control system design or calibration of road machinery (Graders, Pavers, Rollers, Millers).
- Patents or publications in system architecture, hydraulic control, or multi-sensor fusion algorithms.