Principal Engineer – AI-Enabled Embedded Software (Multi GenAI Orchestration)

Role OverviewWe are looking for a Principal Engineer / AI Architect to lead the transformation of embedded software engineering through AI-first digitalization. This role focuses on orchestrating multiple Generative AI systems (Multi‑GenAI) using NXP AI Community–approved tools, tightly integrated with the Atlassian platform (Jira, Confluence, Bitbucket) to enable autonomous, scalable, and intelligent software development ecosystems. You will design and deliver AI-driven SDLC platforms that combine agentic AI, GenAI, DevOps, and embedded engineering workflows—enabling self-optimizing and highly automated development pipelines.

Key ResponsibilitiesMulti‑GenAI Orchestration & Platform ArchitectureDefine and lead architecture for Multi‑GenAI orchestration platforms leveraging NXP-approved GenAI toolsDesign orchestration across:Multiple LLMs and AI servicesAgent-based systemsEngineering toolchains including Atlassian (Jira, Confluence, Bitbucket)Build modular orchestration layers for:Multi-agent collaborationCross-model reasoningEnd-to-end workflow automationEnsure enterprise-grade scalability, governance, and secure deploymentAI-Driven SDLC TransformationArchitect and implement an AI-enabled embedded SDLCDeeply integrate AI into:Jira (AI-assisted backlog, requirements, traceability)Confluence (automated documentation & knowledge generation)Bitbucket (AI-driven code workflows & reviews)Enable traceable, closed-loop AI systems across requirements development validationAgentic AI & Autonomous Engineering

SystemsDesign agentic AI systems for autonomous execution of engineering workflowsBuild multi-agent orchestration frameworks using:LangChain, AutoGen, CrewAIEnable:AI-driven code generation and optimizationAutomated debugging and root-cause analysisIntelligent test creation linked to Jira workflowsImplement self-learning pipelines using feedback from developers and toolchainsDevOps, Atlassian & Toolchain IntegrationIntegrate AI into CI/CD pipelines and DevOps ecosystemsOrchestrate across:Bitbucket pipelinesBuild and test systemsRelease workflowsEnable AI-assisted DevSecOps aligned with NXP AI governanceAutomate end-to-end developer workflows bridging Atlassian tools and AI systemsEmbedded Systems & ECU IntegrationDrive AI-enabled transformation of embedded software development, including:Complex device driver developmentECU software lifecycle (ASPICE aligned)Integrate AI into real-time

and resource-constrained environmentsEnsure compliance with:MISRAISO 26262ISO/SAE 21434Technical Leadership & AI GovernanceChampion NXP AI Community standards and approved GenAI toolsDefine best practices for:Multi‑GenAI orchestrationAI integration with Atlassian ecosystemDrive adoption of an AI-first engineering cultureLead cross-functional innovation in AI-enabled digital engineering platformsRequired Skills & QualificationsAI & GenAI ExpertiseStrong experience with:Generative AI, LLMs, prompt engineering, RAGMulti‑GenAI orchestration & agent ecosystemsHands-on with:LangChain, AutoGen, CrewAIExperience with enterprise AI governance and approved toolchains (NXP preferred)Software, Platform & Atlassian ExpertiseStrong programming skills:Python (AI/orchestration)C/C++ (embedded systems)Proven experience with:Atlassian platform: Jira, Confluence, Bitbucket (must-have)DevOps, CI/CD,

Infrastructure-as-CodeDistributed systems & AI pipelinesCloud platforms:Azure / AWSEmbedded Systems ExpertiseStrong understanding of:Embedded systems, RTOS, toolchainsECU architectures & ASPICEExpertise in:Safety-critical, real-time systemsMore information about NXP in Germany...#LI-38ffSummaryLocation: MunichType: Full time