Principal Engineer – AI-Enabled Embedded Software

**Role Overview** We 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 Responsibilities** **Multi‑GenAI Orchestration & Platform Architecture** * Define and lead architecture for **Multi‑GenAI orchestration platforms** leveraging **NXP-approved GenAI tools** * Design orchestration across: * Multiple LLMs and AI services * Agent-based systems * Engineering toolchains including **Atlassian (Jira, Confluence, Bitbucket)** * Build **modular orchestration layers** for: * Multi-agent collaboration * Cross-model reasoning * End-to-end workflow automation * Ensure **enterprise-grade scalability, governance, and secure deployment** **AI-Driven SDLC Transformation** * Architect and implement an **AI-enabled embedded SDLC** * Deeply 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 → validation **Agentic AI & Autonomous Engineering Systems** * Design **agentic AI systems** for autonomous execution of engineering workflows * Build **multi-agent orchestration frameworks** using: * LangChain, AutoGen, CrewAI * Enable: * AI-driven code generation and optimization * Automated debugging and root-cause analysis * Intelligent test creation linked to Jira workflows * Implement **self-learning pipelines** using feedback from developers and toolchains **DevOps, Atlassian & Toolchain Integration** * Integrate AI into **CI/CD pipelines and DevOps ecosystems** * Orchestrate across: * **Bitbucket pipelines** * Build and test systems * Release workflows * Enable **AI-assisted DevSecOps aligned with NXP AI governance** * Automate **end-to-end developer workflows bridging Atlassian tools and AI systems** **Embedded Systems & ECU Integration** * Drive **AI-enabled transformation of embedded software development**, including: * Complex device driver development * ECU software lifecycle (ASPICE aligned) * Integrate AI into **real-time and resource-constrained environments** * Ensure compliance with: * MISRA * ISO 26262 * ISO/SAE 21434 **Technical Leadership & AI Governance** * Champion **NXP AI Community standards and approved GenAI tools** * Define best practices for: * **Multi‑GenAI orchestration** * AI integration with **Atlassian ecosystem** * Drive adoption of an **AI-first engineering culture** * Lead cross-functional innovation in **AI-enabled digital engineering platforms** **Required Skills & Qualifications** **AI & GenAI Expertise** * Strong experience with: * Generative AI, LLMs, prompt engineering, RAG * **Multi‑GenAI orchestration & agent ecosystems** * Hands-on with: * LangChain, AutoGen, CrewAI * Experience with **enterprise AI governance and approved toolchains (NXP preferred)** **Software, Platform & Atlassian Expertise** * Strong programming skills: * Python (AI/orchestration) * C/C++ (embedded systems) * Proven experience with: * **Atlassian platform: Jira, Confluence, Bitbucket (must-have)** * DevOps, CI/CD, Infrastructure-as-Code * Distributed systems & AI pipelines * Cloud platforms: * Azure / AWS **Embedded Systems Expertise** * Strong understanding of: * Embedded systems, RTOS, toolchains * ECU architectures & ASPICE * Expertise in: * Safety-critical, real-time systems [More information about NXP in Germany...](https://www.nxp.com/company/about-nxp/worldwide-locations/germany:GERMANY) #LI-38ff