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...