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

Your tasks

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

We offer

More information about NXP in Germany...

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