Caterpillar
From Caterpillar's careers page
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Technology, Digital and Data
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
决策规划算法工程师
岗位职责
负责场景下的决策逻辑开发，包括信号灯路口通行（路权申请、高效放行、单车道单车通行）、汇入汇出及会车等场景。
负责通用决策机制的设计与实现，如特定场景下的路权规则、死锁检测与解除策略。
支持作业区域的决策逻辑适配，包括维修区、加油区、换电站、充电区等。
负责决策模块的仿真验证、场景回归测试及现场问题分析与迭代优化。
参与决策相关安全约束与降级策略设计，保障异常情况下车辆安全。
任职要求-基本要求
计算机、自动化、机器人、车辆工程、数学等相关专业本科及以上学历。
3 年以上自动驾驶决策规划或机器人决策相关开发经验。
熟练掌握 C++，熟悉 Python，熟悉 Linux 及 ROS/ROS2。
决策方向
熟悉有限状态机（FSM）、行为树（Behavior Tree）、规则引擎等决策框架的设计与落地。
熟悉路口通行、汇入汇出、会车、让行等交互场景的决策建模。
了解 POMDP、博弈论、MCTS 等交互决策方法，并能结合工程实际进行取舍。
熟悉多车协同、路权分配、死锁检测与避免等机制。
规划与系统方向
了解路径规划与速度规划方法，如 Hybrid A*、Lattice Planner、EM Planner、基于优化的规划方法等。
理解决策与预测、运动规划、控制及车云调度系统之间的接口与数据流。
具备现场测试问题定位与快速迭代能力。
加分项
矿山、港口、园区等封闭场景自动驾驶经验。
车云协同、车队管理/调度系统（FMS）或 V2X 相关开发经验。
多车协同决策、交通管控或路权管理系统开发经验。
学习型决策（强化学习、模仿学习）研究或应用经验。
October 27, 2026 - November 19, 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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