Infineon Technologies

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

Stellenbeschreibung:

Overview

In this role you lead verification strategy and implementation for agentic, production-grade embedded software, shaping end-to-end validation and traceability across workflows. You work with cross-functional teams to ensure robust, automated engineering practices and scalable CI. Your impact spans from low-level MCU behavior to high-level agentic systems, driving dependable, verifiable software in a fast-moving domain. This is an opportunity to influence automotive-grade verification and AI-enabled embedded software at a globally respected semiconductor leader.

Verantwortungsbereiche
  • Define and lead verification strategy for agentic workflows producing 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 agents and generated code
  • Embed end-to-end tracing, logging, and diagnostics across agentic engineering workflows
  • Ensure Automotive SPICE traceability throughout agentic workflows
Zentrale Anforderungen
  • Degree in Electrical Engineering, Computer Science, or a related field
  • 8+ years of experience in embedded systems/firmware verification and 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
  • clear communication
  • stakeholder alignment
  • ownership and accountability
  • Python
  • Bash
  • GitLab
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Stelleninformationen

  • Veröffentlichungsdatum:

    14 Sep 2026
  • Standort:

    München

    Einsatzort:

    Dresden, Germany
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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