{"id":108677,"url":"https://alion.io/job/nxp-principal-engineer-ai-enabled-embedded-software-multi-genai-orchestration","title":"Principal Engineer – AI-Enabled Embedded Software (Multi GenAI Orchestration)","company":{"id":17368,"name":"NXP Semiconductors","domain":"nxp.com","url":"https://alion.io/company/nxp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":174,"ghost_share":0,"stale_share":0.632,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Hardware","role_family":"Hardware","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Munich, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":239000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":796},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bitbucket","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"CrewAI","optional":false},{"name":"Jira","optional":false},{"name":"LangChain","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"RTOS","optional":false}],"status":"live","first_seen_at":"2026-07-09T00:00:00Z","employer_posted_date":"2026-07-09","last_verified_at":"2026-10-30T05:09:35Z","board_verified":true,"closed_at":null,"days_open":113,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":112},"description":"Role Overview\nWe are looking for a Principal Engineer / AI Architect to lead the transformation of embedded software engineering through AI-first digitalization.\nThis 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.\nYou 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.\nKey Responsibilities\nMulti-GenAI Orchestration & Platform Architecture\nDefine and lead architecture for Multi-GenAI orchestration platforms leveraging NXP-approved GenAI tools\nDesign orchestration across:Multiple LLMs and AI services\nAgent-based systems\nEngineering toolchains including Atlassian (Jira, Confluence, Bitbucket)\n\nBuild modular orchestration layers for:Multi-agent collaboration\nCross-model reasoning\nEnd-to-end workflow automation\n\nEnsure enterprise-grade scalability, governance, and secure deployment\nAI-Driven SDLC Transformation\nArchitect and implement an AI-enabled embedded SDLC\nDeeply integrate AI into: Jira (AI-assisted backlog, requirements, traceability)\n Confluence (automated documentation & knowledge generation)\n Bitbucket (AI-driven code workflows & reviews)\n\nEnable traceable, closed-loop AI systems across requirements → development → validation\nAgentic AI & Autonomous Engineering Systems\nDesign agentic AI systems for autonomous execution of engineering workflows\nBuild multi-agent orchestration frameworks using:LangChain, AutoGen, CrewAI\n\nEnable:AI-driven code generation and optimization\nAutomated debugging and root-cause analysis\nIntelligent test creation linked to Jira workflows\n\nImplement self-learning pipelines using feedback from developers and toolchains\nDevOps, Atlassian & Toolchain Integration\nIntegrate AI into CI/CD pipelines and DevOps ecosystems\nOrchestrate across:Bitbucket pipelines\nBuild and test systems\nRelease workflows\n\nEnable AI-assisted DevSecOps aligned with NXP AI governance\nAutomate end-to-end developer workflows bridging Atlassian tools and AI systems\nEmbedded Systems & ECU Integration\nDrive AI-enabled transformation of embedded software development, including:Complex device driver development\nECU software lifecycle (ASPICE aligned)\n\nIntegrate AI into real-time and resource-constrained environments\nEnsure compliance with:MISRA\nISO 26262\nISO/SAE 21434\n\nTechnical Leadership & AI Governance\nChampion NXP AI Community standards and approved GenAI tools\nDefine best practices for:Multi-GenAI orchestration\nAI integration with Atlassian ecosystem\n\nDrive adoption of an AI-first engineering culture\nLead cross-functional innovation in AI-enabled digital engineering platforms\nRequired Skills & Qualifications\nAI & GenAI Expertise\nStrong experience with:Generative AI, LLMs, prompt engineering, RAG\nMulti-GenAI orchestration & agent ecosystems\n\nHands-on with:LangChain, AutoGen, CrewAI\n\nExperience with enterprise AI governance and approved toolchains (NXP preferred)\nSoftware, Platform & Atlassian Expertise\nStrong programming skills:Python (AI/orchestration)\nC/C++ (embedded systems)\n\nProven experience with: Atlassian platform: Jira, Confluence, Bitbucket (must-have)\nDevOps, CI/CD, Infrastructure-as-Code\nDistributed systems & AI pipelines\n\nCloud platforms:Azure / AWS\n\nEmbedded Systems Expertise\nStrong 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