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

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...