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

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</p>

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