Our System Product Engineering team is looking for a QA Engineer to join us and help validate the software infrastructure used by multiple teams across the organizations. This role focuses on testing internal tools, backend services, workflows, automation, and the systems that support our validation processes. You will work closely with developers, infra teams, and validation engineers to ensure that our internal software is stable, reliable, and easy to use. You will contribute to building robust test coverage, improving automation, analyzing logs and test results, and driving quality throughout the development cycle.
What you’ll be doing:
Plan, execute, and analyze functional, integration, and regression tests for internal infrastructure software
Develop and maintain automated test cases and test flows
Validate backend services, data pipelines, web tools, and internal workflows
Investigate failures, collect logs, reproduce issues, and work with developers to identify root causes
Review and validate new features before release, ensuring they meet quality and usability expectations
Support CI/CD flows by monitoring automated tests and contributing to improvements
Document test scenarios, edge cases, and validation coverage
Provide continuous feedback to developers and infra teams to improve quality and reliability
What we need to see:
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience
5+ years of experience in QA, software testing, or validation engineering
Experience with test automation
Familiarity with web-based systems, REST APIs, and backend workflows
Strong analytical and debugging skills (logs, exceptions, environment reproduction, etc.)
Good understanding of Linux environments
Experience with Git or other version-control systems
Ability to work independently and collaborate in a cross-functional environment
Ways to stand out from the crowd:
Experience testing backend services, internal tools, or infrastructure software
Hands-on experience with Django, React, or similar frameworks (reading code/understanding flows)
Background working with CI/CD pipelines
Experience validating log parsing, reporting flows, or automation frameworks
Ability to design comprehensive validation coverage for complex systems
At NVIDIA, you’ll work with a team that builds and maintains the internal tools powering our validation processes. You’ll play a central role in improving quality, efficiency, and reliability for many teams that depend on our infrastructure. If you enjoy testing complex systems, solving problems, and helping create software that makes others more productive - we want to hear from you!
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
