Nvidia Senior SWQA Test Development Engineer 

China, Shanghai 

834378696

What you’ll be doing:

• Utilizing AI-powered tools to enhance QA efficiency, including automating test case generation, defect detection, and regression testing.

• Implementing AI-driven solutions to optimize test coverage and identify high-risk areas in software systems.

• Collaborating with cross-functional teams to adopt AI tools that improve workflow automation and reduce manual effort.

• Review product requirements and collaborate with cross-functional teams to define testrequirements/strategies

• Build test plan, design test case, execute and report test progress, bugs and results to management.

• PerformFunction,Performance,Fault Injection and reliability testing

• Automate test cases and assist in the architecture, crafting and implementing of test frameworks.

• Manage bug lifecycle and co-work with inter-groups to drive for solutions.

• In-house repro and verify customer issues/fixes.

• Leveraging AI-powered tools to automate repetitive testing tasks, optimize test coverage, and detect flaky tests

What we need to see:

• BS or higher degree or equivalent experience in CS/EE/CE with 5+ years QA experience.

• Experience using AI tools for QA tasks

• Familiarity with AI-powered testing frameworks and platforms that improve process efficiency

• Strong understanding of QA methodologies and the ability to integrate AI tools into existing workflows

• Proficient in Unix/Linux and shell/python programming skills.

• Strong understanding of Kubernetes architecture and its components

• Experience with containerization technologies

• Experience with CI/CD pipelines and tools

• Proven experience in test cases development, tests automation and failure analysis, preferably with Kubernetes or cloud-based services, simulating large clusters and testing various failures (tools like KWOK and chaos monkey, etc.)

• Good QA sense, knowledge, and experience in software testing.

• Excellent communicator, fluent written and verbal English.

• Good teamwork with ability to work independently.

Ways to stand out from the crowd:

• Proven success in leveraging AI tools to significantly reduce testing time or improve defect detection rates.

• Experience in implementing innovative AI-driven solutions that streamline QA workflows or enhance process automation.

• Background in SaaS and PaaS test is a strong plus

• Experience working with NVIDIA GPU hardware is a strong plus