Swqa Test Development Engineering Intern - jobs at Nvidia in United Kingdom, Belfast

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.

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.

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.

Applications will be accepted until December 6, 2025.

Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.

What you’ll be doing:

• Review product requirements and develop test matrix.

• Build testing-related documentation, including test plans, test approach, test cases and bug reports assessing quality and associated risks.

• Manage bug lifecycle and co-work with inter-groups to work towards solutions.

• Automate manual tests and assist in the architecture, building and implementing test frameworks.

• Enhance the existing testing frameworks used in the organization by our engineers, including yourself, for areas such as UIs, REST APIs, process automation and performance validation.

• Support a reliable fast feedback loop by integrating automation testing in CI and discovery pipelines.

What we need to see:

• BS or higher degree or equivalent experience in Computer Science, Electronics or relatwed discipline with 5+ years QA experience.

• Proficient with web based UI and RESTful APIs validation via code as well as Unix/Linux and shell/python programming skills.

• Familiarity with networking protocols as well as working command of the Python programming language.

• Rich experience in test cases development and failure root cause analysis.

• Track record in identifying areas of process improvement

• Good command of Cloud management systems and Kubernetes and supporting cloud infrastructure (Grafana etc)

• Experience with building and handling CI/CD pipelines.

• Hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, or integration into QA workflows

• Fine-tuning or training models for QA-specific tasks - adapting LLMs or other models specifically for testing, documentation analysis, or requirement validation

• Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc.

• Excellent communicator, fluent written and verbal English.

Ways to stand out from the crowd:

• Experience building AI systems such as RAG (Retrieval-Augmented Generation) pipelines, MRC (Machine Reading Comprehension) solutions, or AI agents

• Building AI-powered test generation tools - using LLMs to automatically generate test cases, test code, edge cases, or synthetic test data

• Experience working with NVIDIA GPU hardware is a strong plus

• Scalability or performance testing knowledge is a plus

• Experience with data analysis and system monitoring across distributed systems as well as experience with Golang