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

Principal Engineer – AI-Enabled Embedded Software (Multi GenAI Orchestration)Skip to main content# Job ListingsPrincipal Engineer – AI-Enabled Embedded Software (Multi GenAI Orchestration) page is loaded## Principal Engineer – AI-Enabled Embedded Software (Multi GenAI Orchestration)Applylocations: Munichtime type: Full timeposted on: Posted Todayjob requisition id: R- **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 #J-18808-Ljbffr