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

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 ., 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, + Embedded systems, RTOS, toolchains
• ECU architectures & ASPICE
• Expertise in:
• Safety-critical, real-time systems

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