Senior Software QA Test Development Engineer

What you’ll be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• Created or materially transformed a test platform used by multiple teams or products.

• Reduced release risk, escaped defects, test runtime, or manual validation effort through measurable engineering improvements.

• Demonstrated ownership of an agentic end-to-end SWQA workflow.

• Experience validating cloud-native, distributed, or high-scale systems under realistic failure conditions.

• Recognised for turning ambiguous quality concerns into clear engineering plans and sustainable technical solutions.

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.