Nvidia Senior Software QA Test Development Engineer 

United Kingdom, Northern Ireland, Belfast 

310740893

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