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 (MultiGenAI) using NXP AI Communityapproved 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 workflowsenabling self-optimizing and highly automated development pipelines.

Key Responsibilities

MultiGenAI Orchestration & Platform Architecture

• Define and lead architecture for MultiGenAI 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:
  • MultiGenAI 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
  • MultiGenAI 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...