Description
We are looking for a Software Test development engineer in NVIDIA’s AI SWQA team. The position is in NVIDIA AI Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s AI software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios.
You will work closely with global cross-functional teams to understand the test requirements and take ownership of product quality. Your responsibilities will include:
- Planning, designing, executing, reporting, and automating test plans and test cases
- Managing bug lifecycle and collaborating with inter-groups to drive solutions
- Automating test cases and assisting in the architecture, implementing/enabling test for CI/CD
- In-house reproducing and verifying customer issues/fixes
To be successful in this role, you will need:
- A Master's or higher degree in Computer Science or a similar field
- 5+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills
- UNIX/Linux administrator and troubleshooting experience
- Good Python software development or test development skillset, familiar with Python CI/CD pipeline development
- Direct development experience in AI tools/products or using AI for major features
- Good user/development experience of virtualization like VM & Docker container & k8s & Slurm
- Excellent English written and oral communication skills
- Microcontroller programming/developing background
- Proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation
Experience in using AI to automate/implement QA end-to-end workflow, familiarity with NVIDIA GPU hardware products, and working knowledge of Deep Learning large-scale training backend like Pytorch, Nemotron, and Inference backend like vLLM, SGLang, will be highly regarded.