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

Role Overview

We are looking for aPrincipal Engineer / AI Architect to lead the transformation of embedded software engineering throughAI-first digitalization.

This role focuses onorchestrating multiple Generative AI systems (Multi‑GenAI) usingNXP AI Community–approved tools, tightly integrated with theAtlassian platform (Jira, Confluence, Bitbucket) to enableautonomous, scalable, and intelligent software development ecosystems.

You will design and deliverAI-driven SDLC platforms that combineagentic AI, GenAI, DevOps, and embedded engineering workflows—enablingself-optimizing and highly automated development pipelines.

Key Responsibilities

Multi‑GenAI Orchestration & Platform Architecture

• Define and lead architecture forMulti‑GenAI orchestration platforms leveragingNXP-approved GenAI tools
• Design orchestration across:
  • Multiple LLMs and AI services
  • Agent-based systems
  • Engineering toolchains includingAtlassian (Jira, Confluence, Bitbucket)
• Buildmodular orchestration layers for:
  • Multi-agent collaboration
  • Cross-model reasoning
  • End-to-end workflow automation
• Ensureenterprise-grade scalability, governance, and secure deployment

AI-Driven SDLC Transformation

• Architect and implement anAI-enabled embedded SDLC
• Deeply integrate AI into:
  • Jira (AI-assisted backlog, requirements, traceability)
  • Confluence (automated documentation & knowledge generation)
  • Bitbucket (AI-driven code workflows & reviews)
• Enabletraceable, closed-loop AI systems across requirements → development → validation

Agentic AI & Autonomous Engineering Systems

• Designagentic AI systems for autonomous execution of engineering workflows
• Buildmulti-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
• Implementself-learning pipelines using feedback from developers and toolchains

DevOps, Atlassian & Toolchain Integration

• Integrate AI intoCI/CD pipelines and DevOps ecosystems
• Orchestrate across:
  • Bitbucket pipelines
  • Build and test systems
  • Release workflows
• EnableAI-assisted DevSecOps aligned with NXP AI governance
• Automateend-to-end developer workflows bridging Atlassian tools and AI systems

Embedded Systems & ECU Integration

• DriveAI-enabled transformation of embedded software development, including:
  • Complex device driver development
  • ECU software lifecycle (ASPICE aligned)
• Integrate AI intoreal-time and resource-constrained environments
• Ensure compliance with:
  • MISRA
  • ISO 26262
  • ISO/SAE 21434

Technical Leadership & AI Governance

• ChampionNXP AI Community standards and approved GenAI tools
• Define best practices for:
  • Multi‑GenAI orchestration
  • AI integration withAtlassian ecosystem
• Drive adoption of anAI-first engineering culture
• Lead cross-functional innovation inAI-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 withenterprise 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...