Automation QA Engineer

Responsibilities

• Design and develop scalable, reusable automation infrastructure and frameworks in Python/pytest - building systems that are stable, maintainable, and accelerate test coverage across teams
• Own the automation lifecycle: from framework architecture and test development through scheduling, CI/CD integration, reporting, and failure analysis
• Integrate test suites into Jenkins and GitLab CI/CD pipelines, enabling continuous validation across software releases
• Develop AI-based internal tools to streamline team workflows - including automated failure triage, log analysis, test generation, and productivity tooling that reduces manual overhead
• Review architectural designs and feature requirements, then translate them into comprehensive test plans covering functional, regression, performance, and security scopes
• Identify, report, and help root-cause bugs found in hardware drivers, firmware interfaces, and system-level components; validate fixes delivered by R&D and track resolution to closure
• Define lab topologies and setup configurations to ensure broad product coverage across Storage and Networking environments
• Publish detailed test reports and contribute to data-driven quality decisions
• What we need to see:
• B.A. / B.Sc. in Computer Science, Electrical Engineering, or equivalent practical experience
• 2+ years of hands-on experience in Software QA Automation
• 2+ years of experience building and maintaining automation infrastructures using Python and PyTest.
• 2+ years of hands-on experience with Linux systems and Networking environments
• Proven experience with CI/CD pipelines - Jenkins and/or GitLab CI
• Hands-on experience testing hardware or system-level software (drivers, firmware, embedded systems, or similar)
• Knowledge of Storage environments and protocols
• Strong written and spoken English; clear communicator with a collaborative mindset
• Ways to stand out from the crowd:
• Demonstrated experience developing and deploying AI-based tools that improve engineering or QA team productivity
• An AI-first mindset - proactively using AI to accelerate test generation, failure analysis, and framework development
• Experience with Storage and Virtualization technologies (KVM)
• Hands-on experience with traffic and I/O tools (FIO, DD, etc.)
• Familiarity with Test-Driven Development (TDD) practices

Additional Information

We are looking for a talented Software Automation QA Engineer to join our Storage team at NVIDIA. This role sits within the QA organization with a primary focus on validating Storage and Networking solutions that power NVIDIA's industry-leading products. The ideal candidate is QA and also automation-first in mindset, brings deep experience building robust test infrastructure for software, hardware and system-level environments, and thrives in a fast-moving engineering environment where quality and innovation go hand in hand.

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