Quality Engineering & Test Automation Design, develop, and execute functional, integration, regression, system, GUI, and performance test cases. Develop and maintain automated test suites to improve release quality, test coverage, and execution efficiency. Create test plans, test data, validation scenarios, and automation assets for new features and software releases. Support CI/CD-driven testing and automated validation activities. Leverage Generative AI tools such as GitHub Copilot, ChatGPT, Microsoft Copilot, or equivalent tools to accelerate test case creation, automation scripting, and quality engineering workflows. Investigate, reproduce, analyze, and troubleshoot customer-reported software issues. Perform log analysis, defect reporting, debugging, and root-cause identification. Apply Generative AI tools in daily QA activities including test case design, automation development, defect analysis, and quality reporting. Develop reusable AI prompts, templates, and accelerators that improve QA productivity. Evaluate AI-driven testing approaches and contribute to AI adoption within quality engineering processes. Support development of lightweight AI-powered quality utilities and workflow automation solutions. Participate in test strategy discussions and recommend appropriate validation approaches based on product requirements. Collaborate with software developers, quality engineers, systems teams, and customer support organizations globally. Contribute to improving software reliability, maintainability, and overall customer experience. Ability to demonstrate measurable productivity improvements achieved through AI-assisted testing approaches. 3-5 years of experience in Software Quality Assurance, Test Automation, Software Testing, or Software Validation. Good understanding of Functional, Integration, Regression, System, GUI, and Performance Testing methodologies. Hands-on experience developing and maintaining automated test solutions for desktop, enterprise, control software, or hardware-integrated applications. Proficiency in Java, Python, or similar programming/scripting languages. Strong analytical, debugging, troubleshooting, and problem-solving skills. Understanding of computer architecture and operating systems. Effective written and verbal communication skills with the ability to collaborate across global teams. Ability to independently own testing activities with minimal supervision Willingness to work on desktop-based applications, equipment control software, and hardware-integrated software solutions. Experience with desktop-based applications, equipment control software, or hardware-integrated software systems. Familiarity with automation frameworks and modern testing tools. Exposure to CI/CD pipelines and automated build validation. Knowledge of Unix/Linux operating systems. Experience building AI-assisted QA workflows, utilities, or testing accelerators. Exposure to semiconductor equipment software, industrial automation, embedded systems, or manufacturing software environments. Knowledge of AI-assisted coding and modern software development practices.
Want jobs like this matched to you?
SimpleCareer scores fresh postings against your résumé so you only see the matches that matter.