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Open nowPosted 121 days ago

整车控制器系统需求工程师

li/referral788 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now整车控制器系统需求工程师li/referral · Beijing, Chinese Mainland
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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. li/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 121 days ago

li/referral median: 1 days open

The posting

1. 对标与需求定义:负责整车控制器平台及趋势的对标分析、功能部署定义及业务划分,以及原始需求、系统需求、软硬件需求的收集、编写、分析与评审; 2. 跨维度需求拆解:从智能驾驶、车辆控制、AI 算法、芯片、服务器等多维度拆解系统级需求,制订专业且灵活的系统级解决方案,覆盖底层功能定义与分配、通讯、诊断、功能安全、信息安全、资源配置、车云协同等方向; 3. 系统架构与方案设计:牵头或深度参与整车控制器平台的系统架构设计、技术选型与技术方案研究,并推动落地实施;能与技术团队进行深度技术讨论(不需要写代码,但要理解方案取舍),同时能向非技术方清晰阐述产品价值; 4. 开发交付闭环:负责系统需求的设计、开发、测试及 Jira 问题全闭环,管理控制器平台产品开发全生命周期,在高迭代节奏中平衡「快速交付」与「工程质量」; 5. 跨团队协同对齐:对接软件架构、硬件、软件、测试 Team,以专题形式快节奏对齐各专业认知,形成共识;负责产品系统需求的解释与澄清拉齐; 6. 需求体系建设:建设和维护控制器平台产品需求体系,持续对软、硬件架构设计提出系统性约束与建议,推动迭代质量提升; 7. AI 领军:感知前沿 AI 发展,利用 AI 打破现有约束、构建 AI 虚拟团队,基于 LLM 设计高鲁棒性的多 Agent系统,探索记忆管理与上下文优化规则,重构现有系统工作流程。

1. 基础背景 - 本科及以上学历,人工智能、计算机、电气工程、自动化、机电一体化、车辆工程、电子、软件工程等相关专业; - 3年以上汽车电子系统或AI Agent相关经验,完整参与过2个及以上量产项目,有预研项目经验者优先; - 具备良好的技术文档能力,能够独立输出SRS、SWS、DDD等文档。

2. 专业能力 1)汽车电子与系统工程 - 熟悉智能驾驶、车辆控制、底盘、热管理等典型汽车电子业务场景; - 掌握车载通信协议(CAN/LIN/Ethernet)及诊断标准(UDS/OBD); - 熟悉功能安全、信息安全及相关技术法规; - 熟悉主流车规芯片平台,如NXP S32G、英飞凌TC3xx、高通、NVIDIA及国产MCU/SoC; - 熟悉ASPICE等汽车电子开发流程和方法论,具备系统设计到测试验证的全流程理解; - 熟悉敏捷开发方式,具备良好的系统性思维和全局视角。 2)软硬件与平台技术 - 了解AUTOSAR AP/CP、MCU/SoC/NPU、虚拟化、中间件、Linux等基础技术; - 熟练使用Python,具备扎实的软件工程基础和复杂系统理解能力; - 理解DevOps流程,具备Docker、Kubernetes等部署与维护经验者优先; - 能看懂硬件原理图,理解产品需求与硬件实现之间的关系。 3)AI / Agent能力 - 理解主流Agent框架并具备实际项目经验; - 熟悉Prompt工程、Context管理、RAG及微调流程,对LLM幻觉控制、逻辑循环等问题有实战经验; - 了解不同LLM的能力边界、成本差异及应用场景; - 对AI知识库建设、模型服务化及推理优化有一定理解; - 了解模型部署与CI/CD流程者优先。

3. 软素质与加分项 - 具备强烈的好奇心、责任感和自驱力,能够适应快节奏交付环境; - 具备优秀的沟通协调能力、问题分析能力和推动落地能力; - 有复杂Agent系统从0到1落地经验者优先; - 有Agent评估体系建设经验,或具备异步编程、消息队列、分布式系统开发经验者优先。

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