NXP

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

Germany · Work style not stated · Full time

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About the role

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EmployerNXP
LocationGermany
Work styleWork style not stated
Employment typeFull time
Employer posted9 Jul 2026

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:

Show full description

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...

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