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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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The Software QA Engineer joins the Digital Marketing Operations Team to manage and coordinate software testing for all web and mobile releases. This role involves triaging issues with development teams, performing root cause analysis, and defining new test plans to ensure high quality standards. The engineer will develop automation scripts and improve stable frameworks to enhance efficiency across various platforms. Key technical requirements include proficiency in Java, TestNG, Selenium, Maven, Jenkins, and JMeter, along with experience in AEM components, REST services, and databases. Candidates must possess knowledge of HTML5, CSS3, JavaScript, and ReactJS while utilizing configuration management tools like Git or Perforce. The role addresses the technical challenge of delivering global web initiatives by integrating build, testing, and validation processes into a continuous integration framework within an embedded software stack environment.
Manage project coordination and software testing for all web and mobile releases.
Triage issues with development teams to conduct root cause analysis and confirm fixes.
Define new test cases and improve existing test plans to maintain high quality standards.
Develop and update automation testing scripts using Java, TestNG, Selenium, and AEM components.
Build and maintain sophisticated automation frameworks to increase efficiency and reusability.
Improve the continuous integration framework by merging build, testing, and deployment processes.
Create QA automation workflows integrated with AI platforms like ChatGPT or Claude.
What we're looking for
Bachelor's degree in Computer Science or equivalent experience in related fields.
At least 4+ years of hands-on testing experience in embedded software stack.
Hands-on experience with AEM Components, authoring, and publishing testing.
Knowledge of HTML5, CSS3, Javascript, ReactJS UI technologies, and debugging methodologies.
Experience using Configuration Management tools (Git, Perforce) and Agile scrum tools.
Strong technical skills in embedded systems, orchestration & automation systems, data centers, and cloud architecture.
Advanced degrees or equivalent experience in Computer Science or related fields (preferred).
Knowledge of Selenium, TestNG, Maven, Jenkins, Databases, Web services, JMeter, Java, AI/deep learning frameworks, and building QA automation AI workflows (preferred).