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

NXP Semiconductors; München; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

NXP Semiconductors is seeking a Principal Engineer / AI Architect to lead the transformation of embedded software engineering through AI-first digitalization. You will orchestrate multiple GenAI systems and tightly integrate with the Atlassian suite to enable autonomous, scalable software development ecosystems.

You will design and deliver AI-driven SDLC platforms, blending agentic AI, GenAI, DevOps and embedded engineering workflows to enable self-optimizing, highly automated development

Qualifikationen

• Experience with Generative AI, LLMs and prompt engineering.
• Proficiency in multi-GenAI orchestration and agent ecosystems.
• Hands-on with LangChain, AutoGen, CrewAI and enterprise AI governance.
• Strong programming skills in Python and embedded C/C++.
• Proven experience with Atlassian tools integration (Jira/Confluence/Bitbucket).
• Knowledge of DevOps, CI/CD, and infrastructure-as-code.

Aufgaben

• Define and lead architecture for Multi-GenAI orchestration platforms.
• Architect AI-enabled SDLC and integrate AI into Jira, Confluence and Bitbucket workflows.
• Develop agent-based systems and cross-model reasoning for automated pipelines.
• Drive AI governance and secure deployment across embedded software ecosystems.

Kenntnisse

Generative AI

LLMs

Prompt engineering

RAG

Multi-GenAI orchestration

LangChain

AutoGen

CrewAI

Python

C/C++

Atlassian tools

DevOps

CI/CD

IaC

Distributed systems

Azure/AWS

Tools

Jira

Confluence

Bitbucket

Jobbeschreibung

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

More information about NXP in Germany... #LI-38ff NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation.

As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com

Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.

Commitment At NXP

We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress.

Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality.