Senior Software QA Test Development Engineer

NVIDIA is seeking a Senior Software QA Test Development Engineer to craft a distributed technology for all NVIDIA teams that remotely manage resources in a simple and controlled fashion.

As a Senior Software QA Test Development Engineer, you will create test plans, execute and report on them, develop scripts for test automation, design and develop tools for the QA team, and develop integration tests for validation.

Responsibilities:

• Architect, implement, and evolve scalable agentic end-to-end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products.
• Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows.
• Build and maintain high-value automated coverage for Linux-based, containerized, and Kubernetes environments.
• Investigate difficult failures across software stacks; isolate root causes and work directly with development teams through resolution with proposed bug fix PRs.
• Establish meaningful quality metrics, improve signal-to-noise in test results, and use data to prioritize engineering investment.
• Drive automation efficiency through well-engineered tooling, reusable frameworks, and AI-assisted workflows where they demonstrably improve quality or developer productivity.
• Raise the technical capability of the wider team through code reviews, design reviews, documentation, and mentorship.
• Take ownership of ambiguous, cross-functional quality problems and deliver durable solutions,not just test execution.

Requirements:

• BS or higher degree or equivalent experience in Computer Science, Electronics or related discipline with 5+ years QA experience.
• Significant hands-on experience in software QA, SDET, or test-development roles, with a demonstrated record of delivering production-quality automation.
• Strong programming skills in at least one modern language used for test engineering, plus the ability to write clean, maintainable, and well-tested code.
• Deep practical experience designing agentic end-to-end SWQA workflow, automation frameworks,not merely extending existing test scripts.
• Strong Linux expertise and proven experience testing software deployed with Docker and Kubernetes.
• Solid understanding of software quality methodology, including risk-based testing, testability, observability, regression strategy, and release criteria.
• Ability to debug multi-layer failures spanning application code, services, infrastructure, networking, and deployment configuration.
• Evidence of technical ownership: defining a problem, aligning stakeholders, delivering a solution, and measuring the outcome.
• Clear written and verbal communication skills, with the ability to influence engineers and stakeholders through technical rigor.