Software Technical Lead Engineer

Develop and execute test strategies for desktop and equipment control software. Create and maintain automated test suites to improve product quality and coverage. Prepare test plans, test cases, and validation scenarios for new features and releases. Leverage GenAI tools such as GitHub Copilot and ChatGPT to accelerate testing and automation. Validate software releases, patches, and enhancements before deployment. Investigate and troubleshoot customer-reported issues through log analysis, debugging, and root-cause analysis. Collaborate with engineering teams to resolve defects and improve customer experience. Lead testing activities across product releases and development programs. Define validation approaches based on product architecture and risk assessment. Work closely with development, systems, quality, and support teams across global locations. Track testing progress and communicate quality status to stakeholders. Drive quality improvements through automation and process optimization. Explore AI-driven testing solutions and modern quality engineering practices. Contribute to enhancing software reliability, maintainability, and overall product quality.

Required Qualifications:

• 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.)