17 hours ago
Shanghai, ChinaIntern
Responsibilities
- Analyze requirements and design test matrices covering functionality, performance, robustness, and edge cases.
- Develop test plans and cases and build, maintain, and enhance automated API, UI, CLI, and end-to-end test suites in Python.
- Use AI-powered tools and agentic workflows for test-case generation, triage, and root-cause analysis.
- Integrate automated testing into CI/CD pipelines to create reliable feedback loops.
- Manage the full bug lifecycle, including filing, reproduction, verification, and cross-functional resolution.
- Reproduce and verify customer-reported issues before release.
- Identify opportunities to improve QA efficiency through tooling and automation.
Requirements
- Currently pursuing an MS or higher degree in computer science, electrical engineering, computer engineering, or a related field.
- Solid software development skills with hands-on project experience.
- Proficiency in Python and familiarity with Unix/Linux and shell scripting.
- Experience using AI-powered development tools in real projects.
- Familiarity with Docker, Kubernetes, and cloud-based test infrastructure.
- Familiarity with test design, automation, and defect analysis methodologies.
- Strong attention to detail and analytical, systematic problem-solving skills.
- Fluent written and spoken English, initiative, and effective collaboration skills.
- Preferred qualifications include agentic AI workflows, end-to-end test automation frameworks, pytest, CI/CD integration, open-source contributions or a visible GitHub portfolio, LLM evaluation, prompt engineering, accuracy measurement, and AI guardrails.
Benefits
- Full-time, on-site work five days per week for one year.
- Opportunity to learn from experienced engineers and contribute to innovative NVIDIA technology.
- Collaborative and inclusive environment with opportunities to make a significant impact.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.