updated 1 day ago
Principal Engineer – AI-Enabled Embedded Software (Multi GenAI Orchestration)
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Job description
Text:
TL;DR
Principal Engineer – AI-Enabled Embedded Software (Multi GenAI Orchestration) (Multi-GenAI orchestration, embedded software): Designing AI-driven SDLC platforms that orchestrate multiple LLMs, agent systems, and Atlassian workflows for embedded software development with an accent on agentic AI, enterprise governance, and safety-critical ECU systems. Focus on building autonomous engineering pipelines, integrating Jira, Confluence, and Bitbucket, and aligning real-time software with ASPICE, MISRA, ISO 26262, and ISO/SAE 21434.
Location: Munich, Germany
Company
develops semiconductor technologies and embedded software solutions, including systems for automotive and other embedded applications.
What you will do
- Define and lead architecture for Multi-GenAI orchestration platforms using approved enterprise GenAI tools.
- Design modular multi-agent systems that coordinate LLMs, AI services, and Atlassian tools including Jira, Confluence, and Bitbucket.
- Architect AI-enabled embedded software development workflows covering requirements, development, validation, and traceability.
- Integrate AI into CI/CD pipelines, DevOps ecosystems, Bitbucket pipelines, build systems, testing, and release workflows.
- Build autonomous engineering capabilities for code generation, optimization, debugging, root-cause analysis, and intelligent test creation.
- Lead AI governance, engineering standards, and adoption of AI-first digital engineering platforms.
Requirements
- Strong experience with Generative AI, LLMs, prompt engineering, RAG, Multi-GenAI orchestration, and agent ecosystems.
- Hands-on experience with LangChain, AutoGen, and CrewAI.
- Strong Python and C/C++ programming skills, with experience in AI orchestration and embedded systems.
- Proven experience with Jira, Confluence, and Bitbucket is required.
- Experience with DevOps, CI/CD, infrastructure-as-code, distributed systems, AI pipelines, and Azure or AWS.
- Strong understanding of embedded systems, RTOS, ECU architectures, ASPICE, and safety-critical real-time systems.
Culture & Benefits
- Work at the intersection of agentic AI, embedded engineering, DevOps, and digital transformation.
- Contribute to enterprise AI governance and NXP AI Community standards.
- Drive cross-functional innovation in AI-enabled software engineering platforms.
- Employment type: full time.
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