6 days ago
Responsibilities
- Review product requirements and develop test matrices.
- Build test plans, design test cases, execute tests, and report test progress, bugs, and results to management.
- Automate test cases and help architect, craft, and implement test frameworks.
- Design and develop QA tools and integration tests to improve productivity and optimize test plans.
- Manage the bug lifecycle and collaborate with cross-functional groups to drive solutions.
- Reproduce and verify customer issues and fixes in-house.
- Create and automate test cases for AI development tools and ensure comprehensive code coverage.
- Perform model testing and LLM benchmarking.
Requirements
- BS or higher degree in computer science, electrical engineering, or computer engineering, or equivalent experience, plus 5+ years of QA experience.
- Proficiency in Unix/Linux and shell and Python programming.
- Rich experience developing test cases, automating API/UI tests, and performing failure analysis.
- Hands-on experience with AI development tools, including test-case creation, test automation, and code-coverage validation.
- Good knowledge of and hands-on experience with model testing and LLM benchmarking.
- Strong QA judgment, attention to detail, problem-solving, data analysis, quality standards knowledge, and time management.
- Excellent written and verbal English communication skills.
- Ability to work effectively on teams and independently, with a passion for learning advanced technologies.
Benefits
- Experience working with NVIDIA GPU hardware is a strong plus.
- Background in deep learning frameworks is a plus.
- Experience in parallel programming, ideally CUDA or OpenCL, is a plus.
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.