NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
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 test requirements/strategies
- Build test plan, design test case, execute and report test progress, bugs and results to management.
- Perform Function, 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:
- MS or PhD degree from a leading university in computer science or relevant
- 5 years work experience at minimum
- Fluent oral and written English
- Comfortable working with Linux OS
- Good at Shell/python programming skills
- Good QA sense, knowledge, and experience in software testing
- Experience in using AI development tools for test plans creation, test cases development and test cases automation
- Hands-on developer experience with the ability to fix bugs in product code
- Great problem-solving skills
- Good interpersonal skills, quick learner, proactive, innovative, and committed
- Strongly self-motivated with a passion to learn new hardcore technology
Ways to stand out from the crowd:
- Knowledge in LLM and AI models
- Experience working with NVIDIA GPU hardware
- Background with virtualization technologies like Docker, Kubernetes, OpenStack