Posted 6 days ago
横向规划算法工程师_XC
SuzhouOn-siteFull-time
AI Summary
Designs and develops lateral planning algorithms for autonomous driving, including lane change, bypass, and merge maneuvers, and optimizes solvers such as DDP and iLQR for safety and real-time performance.
About this role
横向规划算法工程师_XC
岗位职责
- 负责自动驾驶时空联合规划算法的设计与研发,攻坚复杂路况下的lane change,bypass/nudge,merge等横向功能,提升整体算法的安全性、稳定性与泛化能力。
- 负责DDP/ILQR等求解器的设计与优化,完成规划问题建模、目标函数与约束设计、Solver 调优及数值稳定性分析。
- 负责 End-to-End Planning 与传统优化规划的融合,针对模型输出设计横向轨迹优化、约束处理、安全增强及后处理策略。
- 负责规划算法量产落地及性能优化,针对不同计算平台进行算法裁剪与优化,解决实时性、资源占用及复杂场景疑难问题。
Qualifications
任职要求
- 硕士及以上学历,车辆、控制、机器人、自动化、计算机、数学等相关专业,5年以上自动驾驶/机器人/控制/优化算法相关经验。
- 具备扎实的最优化与控制理论基础,深入理解 DDP、iLQR、MPC、QP 等优化方法及 Solver 原理,具备 Solver Debug、优化及改造能力。
- 具备时空联合规划算法经验,能够独立完成规划问题建模、优化求解、轨迹生成及后处理。
- 熟悉车辆运动学/动力学模型及轨迹优化方法,具备复杂场景规划算法设计与问题攻坚能力。
- 熟练掌握 C++,熟悉 Python,具备较强的算法实现、工程开发及性能优化能力。
- 具备自动驾驶量产项目经验;有 End-to-End Planning、轨迹后处理、优化求解器开发或量产落地经验者优先
Skills
C++DDPEnd-to-end PlanningILQRMPCNumerical Stability AnalysisOptimization SolversPythonQPReal-time Performance OptimizationTrajectory OptimizationVehicle Dynamics
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