Principal Engineer – AI-Enabled Embedded Software / GenAI Orchestration (f/m/d)
At a glance
Senior AI Engineering role at Nxp. Munich · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Set the architecture for AI-supported embedded engineering platforms and coordinate LLMs, agents and engineering tools
- Bring AI into requirements, software design, coding, tests, validation and documentation across automotive development
- Build agent-based tools for code creation, testing, reviews, root-cause work and workflow automation
- Connect AI processes to Jira, Confluence, Bitbucket and CI/CD pipelines, with security, traceability and governance
- Lead technical adoption across teams while applying AI to embedded, real-time and safety-critical software
What you bring
- A university qualification in electrical engineering, computer science, AI or a related technical discipline
- Several years of relevant industry work, including strong hands-on practice with GenAI, LLMs, RAG and agentic systems
- Practical use of orchestration frameworks such as LangChain, AutoGen or another listed framework, plus strong Python and C/C++ skills
- Experience shaping AI platforms, automation and CI/CD workflows, with a solid grounding in embedded and automotive software
Who this fits
This senior principal-level role suits an engineer who can set technical direction and help teams adopt AI-based engineering practices. You’ll work on embedded, real-time and safety-critical automotive software, with knowledge of ASPICE, MISRA and the named ISO standards described as highly desirable. The role is based in Munich, Germany.
From the employer
We are seeking a Principal Engineer / AI Architect to drive AI-enabled transformation of embedded software development. You will architect and implement Multi-GenAI and agentic AI solutions across the Automotive software development lifecycle.
Key Responsibilities
- Define the architecture for AI-enabled embedded software engineering platforms
- Design orchestration across LLMs, AI agents, and engineering tools
- Integrate AI into requirements, architecture, coding, testing, validation, and documentation
- Develop agentic solutions for code generation, testing, reviews, root-cause analysis, and workflow automation
- Integrate AI workflows with Jira, Confluence, Bitbucket, and CI/CD pipelines
- Apply AI to embedded, real-time, and safety-critical automotive software development
- Ensure AI solutions are secure, scalable, traceable, and governed
- Support engineering processes aligned with ASPICE, MISRA, ISO 26262, and ISO/SAE 21434
- Provide technical leadership and drive adoption of AI-enabled engineering practices across teams
Required Qualifications
- University degree in Electrical Engineering, Computer Science, Artificial Intelligence or a related technical field
- Several years of relevant industry experience
- Strong experience with Generative AI, LLMs, RAG, prompt engineering, and agentic AI systems
- Hands-on experience with orchestration frameworks such as LangChain, AutoGen, or CrewAI
- Strong programming skills in Python and C/C++
- Experience designing AI platforms, automation solutions, and CI/CD workflows
- Good understanding of Jira, Confluence, Bitbucket, Azure and/or AWS
- Strong background in embedded software, RTOS, and automotive software development
- Knowledge of ASPICE, MISRA, ISO 26262, and ISO/SAE 21434 is highly desirable