智能驾驶控制算法工程师(横向/纵向)_XC
Suzhouonsite
Posted today · via Smartrecruiters
About this role
About 一、岗位定位与使命 作为智能驾驶系统闭环的核心研发人员,负责设计、开发并量产先进的车辆运动控制算法(横向跟踪、纵向加减速、线控底盘协同),精准驱动转向、制动与动力系统执行规划路径。在确保极高系统安全性、鲁棒性与乘坐舒适性的同时,推动算法在实车平台及主流域控制器(如 Orin、Thor、地平线等)上的规模化落地。 二、核心岗位职责 1. 控制算法设计与开发 负责自动驾驶(L2+ 至 L4 级别)横向、纵向及横纵协同控制算法的方案设计与实现; 研发高精度轨迹跟踪算法,涵盖城市道路、高速场景(如 NOA/NGP)以及低速自主泊车(APA/AVP)场景; 针对复杂工况(如极限附着力、高速避障、颠簸路面、风阻扰动等),研发具备强抗干扰能力的自适应与鲁棒控制策略。 2. 车辆动力学建模与参数辨识 建立高保真度车辆动力学模型(包括双轨/单轨模型、非线性轮胎模型如 Pacejka 魔术公式、动力总成与制动系统传动延迟模型等); 负责车辆底盘物理参数的在线与离线辨识,优化模型前馈与反馈补偿机制。 3. 仿真与虚拟验证 基于 CarMaker 等工具链构建高置信度的模型在环(MIL)与软件在环(SIL)仿真平台; 设计仿真用例与极端边缘工况(Edge Cases),开展系统稳定性、响应时间与舒适度指标评估。 4. 实车标定、调试与硬件在环(HIL) 参与台架测试(HIL)与实车动态调试,对接线控底盘(线控转向 SBW、线控制动 EMB/One-box 等); 负责控制参数标定工作,持续优化车道居中精度、跟车平顺性、加减速 Jerk 值及乘坐舒适体验。 5.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: c++, git
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Suzhou. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
c++git
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