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.

SWQA Test Dev interns at NVIDIA work alongside experienced engineers to learn about test planning, execution, and reporting, as well as developing scripts for test automation and assisting in the development of tools for the QA team. As an intern, you will participate in crafting test plans with the goal of ensuring software reliability and detecting possible issues. You will have the opportunity to make a significant impact on the quality of NVIDIA's products while developing your skills. All interns must have hands-on experience using AI development tools to improve quality and productivity across the end-to-end workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing overall efficiency. The ideal candidate demonstrates strong programming skills and the ability to effectively use AI development tools in real-world scenarios. During the interview process, we will assess practical experience with AI tools and evaluate programming capabilities.

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What you’ll be doing:

• Create automation tests based on manual scenarios and be involved in enhancing framework architecture and implementation for areas such as UI, REST API, process automation, and performance validation;
• Assist in building reliable fast feedback loops by integrating automation testing in CI and discovery pipelines;
• Help build testing-related documentation, including test plans, test cases, and bug reports;
• Manage bug lifecycle and collaborate with multi-functional teams to work towards solutions.

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What we need to see:

• Currently pursuing a BS or higher degree in CS/EE/CE or related field
• Programming skills in Python or similar languages;
• Understanding of Unix/Linux and shell scripting basics;
• Hands-on experience using AI development tools;
• Strong attention to detail, problem-solving skills, and quality-focused attitude;
• Good communication skills in written and verbal English;
• Passion to learn new technologies and grow your skills.
• The period of tenure will be for one year based in our Belfast office.

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Ways to stand out from the crowd:

• Academic or personal projects involving AI/ML, especially with LLMs or prompt engineering;
• Experience with test automation frameworks or building testing tools;
• Familiarity with NVIDIA GPU hardware;
• Coursework or projects in distributed systems, performance testing, or data analysis;
• Experience with version control systems (Git) and collaborative development workflows.

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