Software QA Test Development Engineer Intern

We are looking for a Software QA Test Development Engineer Intern to join our team in crafting a distributed technology for all NVIDIA teams that remotely manage tens of thousands of resources in a simple and controlled fashion.

Job Description:

As a Software QA Test Development Engineer Intern, you will analyze requirements and design test matrices covering functionality, performance, robustness, and edge cases. You will develop test plans and cases, build and maintain automated test suites in Python, and enhance framework architecture and implementation. You will also leverage AI-powered tools and agentic workflows to accelerate case generation, triage, and root cause analysis.

Responsibilities:

• Analyze requirements and design test matrices covering functionality, performance, robustness, and edge cases.
• Develop test plans and cases; build and maintain automated test suites (API / UI / CLI / E2E) in Python; enhance framework architecture and implementation.
• Leverage AI-powered tools and agentic workflows to accelerate case generation, triage, and root cause analysis.
• Integrate automation testing in CI/CD pipelines to build reliable fast feedback loops.
• Manage the full bug lifecycle , filing, reproduction, and driving multi-functional collaboration to resolution.
• Reproduce and verify customer-reported issues to ensure quality before release.
• Find opportunities to improve QA efficiency through tooling and automation.

Requirements:

• Currently pursuing a MS or higher degree in CS/EE/CE or related field
• Solid software development skills with hands-on project experience.
• Proficient in Python; familiar with Unix/Linux and shell scripting.
• Experience using AI-powered development tools to boost productivity in real projects.
• Familiarity with Docker / Kubernetes and cloud-based test infrastructure.
• Familiarity with test methodologies , test design, automation, and defect analysis.
• Strong QA instinct , attention to detail, analytical, systematic problem-solver.
• Fluent English (written & spoken); takes initiative and collaborates well.
• Ability to work full-time, on-site five days per week, for one year.

Nice to Have:

• Hands-on with Agentic AI workflows , AI agents for task automation or intelligent testing.
• Built E2E test automation frameworks (pytest, CI/CD integration).
• Open-source contributions or visible GitHub portfolio.
• Knowledge of LLM evaluation , prompt engineering, accuracy measurement, or AI guardrails.
• Prior experience in a fast-paced, ship-focused environment.