Infineon Technologies

Staff Engineer Component Verification (f/m/div)

Stellenbeschreibung:

Overview

In this role you will validate analog-mixed-signal MCU devices on manufactured hardware, defining robust test concepts with cross-functional partners. You’ll set up measurement and test environments, apply AI-assisted tools for test development, and drive improvements in coverage and reusability. You will mentor junior engineers and contribute to shaping verification strategies in a cutting-edge R&D setting. This position supports Infineon’s mission to enable decarbonization and digitalization through reliable, scalable testing and automation.

Verantwortungsbereiche
  • Validate analog-mixed-signal MCU devices on manufactured hardware by characterizing electrical behavior
  • Configure lab measurement hardware and software test environments for mixed-signal verification
  • Collaborate with cross-functional stakeholders to define reusable test concepts and automation, and drive technical alignment
  • Leverage AI-assisted development tools (GPT/Copilot) for test development, documentation, and automate workflows
  • Review and improve characterization methodologies to enhance coverage, robustness, and reuse
  • Lead and mentor junior engineers and supervise students
Zentrale Anforderungen
  • University degree in Electrical Engineering, Electronics, Information and Communication Technology (or comparable)
  • Several years of professional experience in semiconductor test, characterization or product development/validation
  • Strong programming skills (C/C++, Python, MATLAB or similar) with focus on test/automation in lab environments
  • Hands-on expertise in electrical measurements and lab test setup for accurate, repeatable results
  • Experience with Git-based development, pull requests, and CI/CD
  • Comfort using LLM tools (GPT/Copilot) and building agentic automation flows is a plus
  • Nice to have: exposure to automotive communication protocols and related transceivers; basic lab debugging in physical layer and system
  • Fluent English; German beneficial but not mandatory
  • Cross-functional collaboration
  • Mentoring and leadership
  • Problem-solving and analytical thinking
  • Analog-mixed-signal measurement
  • Lab test setup and instrumentation
  • Automation and test development
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Stelleninformationen

  • Veröffentlichungsdatum:

    27 Sep 2026
  • Standort:

    Dresden

    Einsatzort:

    Dresden, Germany
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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