首席工程师——AI 驱动嵌入式软件(多生成式 AI 编排)
Principal Engineer – AI-Enabled Embedded Software (Multi GenAI Orchestration)
- 地点
- 慕尼黑,德国
- 类型
- 全职
- 发布
- 2026-07-09
- 资历
- principal
- 编号
- R-10064751
职责
- 定义并领导基于恩智浦认证生成式 AI 工具的多生成式 AI 编排平台架构,编排多个大语言模型与 AI 服务、基于代理的系统以及包括 Atlassian(Jira、Confluence、Bitbucket)在内的工程工具链。
- 构建模块化编排层,支持多智能体协作、跨模型推理与端到端工作流自动化,确保企业级可扩展性、治理与安全部署。
- 设计并实现 AI 驱动的嵌入式 SDLC,将 AI 深度集成到 Jira(AI 辅助待办、需求、可追溯性)、Confluence(自动化文档与知识生成)、Bitbucket(AI 驱动的代码工作流与审核),实现需求→开发→验证的可追溯闭环。
- 设计用于工程工作流自主执行的代理 AI 系统,使用 LangChain、AutoGen、CrewAI 构建多智能体编排框架,实现 AI 驱动的代码生成与优化、自动调试与根因分析、与 Jira 工作流关联的智能测试创建,并利用开发者与工具链反馈实现自学习流水线。
- 将 AI 集成到 CI/CD 流水线与 DevOps 生态,编排 Bitbucket 流水线、构建与测试系统、发布工作流,实现与恩智浦 AI 治理对齐的 AI 辅助 DevSecOps,自动化端到端开发者工作流。
- 推动嵌入式软件开发的 AI 驱动转型,包括复杂设备驱动开发、与 ASPICE 对齐的 ECU 软件生命周期,将 AI 整合进实时且资源受限的环境,确保符合 MISRA、ISO 26262、ISO/SAE 21434。
- 支持恩智浦 AI 社区标准及批准的生成式 AI 工具,定义多生成式 AI 编排与 Atlassian 生态 AI 集成的最佳实践,推动 AI 优先的工程文化,引领跨职能创新。
必备要求
- 具备生成式 AI、大语言模型、提示工程、RAG 的丰富经验。
- 具备多生成式 AI 编排与代理生态系统的经验。
- 亲手操作 LangChain、AutoGen、CrewAI。
- 扎实的编程能力:Python(AI/编排)、C/C++(嵌入式系统)。
- 具备 Atlassian 平台(Jira、Confluence、Bitbucket)经验(必备)。
- 具备 DevOps、CI/CD、基础设施即代码经验。
- 具备分布式系统与 AI 流水线经验。
- 具备云平台(Azure / AWS)经验。
- 深刻理解嵌入式系统、RTOS、工具链。
- 深刻理解 ECU 架构与 ASPICE。
- 具备安全关键实时系统领域的专长。
优先条件
- 具备企业 AI 治理及批准工具链经验者优先(恩智浦优先考虑)。
Responsibilities
- Define and lead the architecture of a multi-generative AI orchestration platform leveraging NXP-approved generative AI tools, orchestrating multiple large language models and AI services, agent-based systems, and engineering toolchains including Atlassian (Jira, Confluence, Bitbucket).
- Build modular orchestration layers for multi-agent collaboration, cross-model reasoning, and end-to-end workflow automation, ensuring enterprise-grade scalability, governance, and secure deployment.
- Design and implement an AI-driven embedded SDLC, deeply integrating AI into Jira (AI-assisted backlog, requirements, traceability), Confluence (automated documentation and knowledge generation), and Bitbucket (AI-driven code workflows and review), enabling traceable closed-loop AI from requirements to development to verification.
- Design agentic AI systems for autonomous execution of engineering workflows, building multi-agent orchestration frameworks with LangChain, AutoGen, CrewAI, enabling AI-driven code generation and optimization, automated debugging and root-cause analysis, intelligent test creation linked to Jira workflows, and self-learning pipelines using developer and toolchain feedback.
- Integrate AI into CI/CD pipelines and the DevOps ecosystem, orchestrating Bitbucket pipelines, build and test systems, and release workflows, enabling AI-assisted DevSecOps aligned with NXP AI governance and automating end-to-end developer workflows.
- Drive AI-driven transformation of embedded software development, including complex device driver development and ASPICE-aligned ECU software lifecycle, integrating AI into real-time and resource-constrained environments, ensuring compliance with MISRA, ISO 26262, and ISO/SAE 21434.
- Support NXP AI community standards and approved generative AI tools, define best practices for multi-generative AI orchestration and AI integration with the Atlassian ecosystem, and drive an AI-first engineering culture and cross-functional innovation.
Must Have
- Extensive experience with generative AI, large language models, prompt engineering, and RAG.
- Experience with multi-generative AI orchestration and agent ecosystems.
- Hands-on experience with LangChain, AutoGen, CrewAI.
- Strong programming skills: Python (AI/orchestration) and C/C++ (embedded systems).
- Experience with the Atlassian platform: Jira, Confluence, Bitbucket (required).
- Experience with DevOps, CI/CD, and infrastructure as code.
- Experience with distributed systems and AI pipelines.
- Experience with cloud platforms: Azure / AWS.
- Deep understanding of embedded systems, RTOS, and toolchains.
- Deep understanding of ECU architecture and ASPICE.
- Expertise in safety-critical real-time systems.
Preferred
- Experience with enterprise AI governance and approved toolchains is a plus (NXP preferred).
公司简介
NXP 半导体公司(NASDAQ:NXPI)通过创新的连接技术和边缘处理解决方案,让产品与环境变得更加安全、可持续且高效。作为嵌入式应用安全连接与处理解决方案的全球领导者,NXP 致力于打造一个更加智能的世界,解决世界上最复杂的技术难题,以推动商业创新,改变工作方式,提升生活品质。公司在 35 多个国家拥有 45,000 名员工,拥有超过 60 年的经验。