Principal Engineer – AI-Enabled Embedded Software / GenAI Orchestration (f/m/d)
About the role
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