Lead Principal Engineer Agentic Software Development and Verification (f/m/div)

Do you want to be the driving spirit behind everything we do? As a Lead Principal Engineer Agentic Software Development and Verification on the Software & Data Science team, get ready to program the intelligence behind the chips, transform complex data into actionable insights, and create cutting-edge solutions that redefine industries and solve tomorrow's challenges. Are you in?

Your role

Key responsibilities in your new role

• Define and lead the verification strategy for agentic workflows that generate production-grade embedded software
• Design and implement self-correcting agent loops from specification to verified code
• Build and maintain internal tools, automation interfaces, and scalable CI to validate both agents and generated code
• Embed end-to-end tracing, logging, and diagnostics across agentic engineering workflows
• Ensure Automotive SPICE traceability throughout agentic workflows

Your profile

Qualifications and skills to help you succeed

As a Lead Principal Engineer Agentic Software Development & Verification, you lead with a verification mindset and a strong sense of ownership. You communicate clearly, align stakeholders, and translate ambiguity into actionable engineering direction - especially in fast-moving, agent-driven development contexts. You coach and mentor others, raise the bar for rigor and reproducibility, and collaborate effectively across teams and organizational boundaries to drive shared outcomes.

• Degree in Electrical Engineering, Computer Science, or a related field
• 8+ years of experience in embedded systems/firmware verification, debugging as verification lead
• Strong understanding of MCU behavior and embedded debugging techniques
• Solid coding and scripting skills (Python, Bash) and hands-on experience with GitLab and Docker
• Proven experience building and operating highly automated CI and product verification environments
• Strong knowledge of test-driven development and verification-driven engineering practices
• Familiarity with verification challenges in agent-generated software and agentic workflow systems