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

- **Company:** Nxp Semiconductors
- **Location:** Hamburg, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Confluence, JIRA, Microsoft Azure, C++ (Programming Language), Code Generation, Computer Programming, Continuous Integration, Software Debugging, DevOps, Device Drivers, Embedded Software, Python (Programming Language), Systems Development Life Cycle, Real-Time Operating Systems, ISO/IEC 15504, Software Engineering, Toolchain, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Atlassian Tools, Bitbucket, Devsecops
- **Published:** August 28, 2026
- **Apply:** https://www.jobfinder.de/job/principal-engineer-ai-enabled-embedded-software-multi-genai-orchestration/

## About the Role

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



## Description

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


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