Software Technical Lead Engineer

Lam Research AG

KI-Zusammenfassung

In dieser Rolle gestalten und verantworten Sie umfassende Teststrategien für Desktop- und Anlagensteuerungssoftware und entwickeln automatisierte Tests zur Verbesserung von Qualität und Release-Effizienz. Sie übernehmen technische Führung bei Testaktivitäten, analysieren Fehlerursachen und koordinieren die Zusammenarbeit mit Entwicklungs-, Qualitäts- und Systemteams. Zudem bringen Sie Erfahrung in Software-Qualitätssicherung und Testautomatisierung sowie Kenntnisse moderner Testwerkzeuge und KI-gestützter QA-Workflows ein.

Quality Engineering & Test Automation

Design, develop, and execute comprehensive test strategies for desktop-based and equipment control software applications. Create and maintain automated test suites to improve release quality, coverage, and execution efficiency.

Develop test cases, test data, test plans, and validation scenarios for new product features and software releases.

Investigate, reproduce, analyze, and troubleshoot customer-reported software issues. Perform detailed log analysis, debugging, root-cause identification, and defect reporting.

Provide technical leadership in software testing activities across product releases and development programs. Make informed testing decisions and recommend appropriate validation approaches based on product architecture and risk assessment.

Collaborate with software developers, quality engineers, systems teams, and customer support organizations globally. Coordinate testing activities, track execution progress, and deliver accurate quality reports to stakeholders.

Requirements

  • 6+ years of experience in Software Quality Assurance, Test Automation, or Software Validation
  • Strong understanding of software testing methodologies including Functional, Integration, Regression, System, GUI, and Performance Testing
  • Experience developing automated test solutions for enterprise, desktop, or control software applications
  • Proficiency in programming or scripting using Java, Python, or similar languages
  • Hands-on experience with GenAI tools such as GitHub Copilot or ChatGPT for testing and automation activities
  • Ability to independently own testing activities
  • Strong analytical, debugging, troubleshooting, and problem-solving skills
  • Understanding of computer architecture and operating systems
  • Excellent communication, collaboration, and stakeholder management skills
  • Willingness to work on desktop-based applications, equipment control software, and hardware-integrated software solutions
  • Experience building Generative AI agents to support QA workflows and testing functions
  • Knowledge of AI-assisted or vibe coding techniques for automated test generation
  • Familiarity with automation frameworks and modern testing tools
  • Experience with Unix/Linux operating systems
  • Exposure to semiconductor equipment software, industrial automation, or hardware-integrated applications (Preferred based on Lam software environment.)

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