Software Engineering Intern, Test Development - 2027

Overview

• NVIDIA is well positioned as the “AI Computing Company”, our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles.
• We are looking for a Software QA Test Development Engineer Intern to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage tens of thousands of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks.
• What you'll be doing: 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.
• What we need to see: 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.
• Ways to stand out from the crowd: 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.
• Join our team of world-class engineers and be part of the groundbreaking work we do at NVIDIA.
• This internship offers an excellent opportunity to learn from experienced engineers, work on innovative technology, and make significant contributions.
• We are committed to fostering a collaborative and inclusive environment, where every team member has the opportunity to thrive and make a significant impact.