senior software engineering QA Engineer ic 5+ yrs Bachelor's · Posted Apr 20, 2026

About this role

Nvidia is hiring a senior-level QA Engineer in the software engineering function based in Belfast, United Kingdom. The posting calls out experience with Python, Go, REST APIs, Kubernetes and roughly 5+ years of relevant work. Listed education preference: a bachelor's degree or equivalent.

Role
QA Engineer
Function
software engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Belfast, United Kingdom
Experience
5+ years
Education
Bachelor's degree
Posted
Apr 20, 2026
AI Summary
Senior QA Engineer develops test plans, automation scripts, and testing frameworks for NVIDIA's distributed technology platform. Requires 5+ years QA experience, strong Python/Unix skills, REST API testing expertise, and hands-on LLM experience. Focus on identifying quality issues, building CI/CD integration, and leveraging AI tools for test automation.

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Job description

from Nvidia careers

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 Senior Software QA Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s 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 developer engineers at NVIDIA are responsible for creating test plans, execution, and reporting, as well as developing scripts for test automation, designing and developing tools for the QA team, and developing integration tests for validation. As a test developer, you must identify weak spots and constantly design better and more creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. The ideal candidate must have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. During the interview process, we will assess your ability to effectively use AI development tools and evaluate your programming capabilities to ensure you can deliver high-quality solutions.

This is an excerpt. Read the full job description on Nvidia careers →
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