AI-Powered Software Test Engineer

Join NVIDIA's team as an AI-Powered Software Test Engineer. You'll use and develop AI-powered tools to make software testing smarter, faster, and more effective.

Responsibilities:

• Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization
• Work with product, engineering, and cross-functional teams to review requirements and define test strategies
• Build test plans, design and execute test cases, and report quality status, risks, bugs, and results
• Perform functional, performance, fault-injection, reliability, and regression testing for cloud-native systems
• Automate test cases and contribute to scalable test frameworks
• Manage the bug lifecycle, reproduce customer issues, and verify fixes

Requirements:

• MS or PhD in Computer Science, Engineering, or a related field
• 5+ years of QA, test automation, or software testing experience
• Hands-on experience using AI tools to improve QA workflows
• Strong QA fundamentals, test strategy, test planning, and failure analysis skills
• Proficiency with Unix/Linux and shell or Python programming
• Experience with Kubernetes, containers, CI/CD pipelines, and cloud-native systems
• Experience testing observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or similar platforms
• Experience with large-scale failure testing, using tools such as KWOK, Chaos Monkey, or similar frameworks
• Strong communication, problem-solving skills, and curiosity for complex technology

Preferred qualifications:

• Experience using AI to reduce testing time, improve defect detection, or increase test coverage
• Built AI-driven solutions that streamlined QA workflows or reduced manual effort
• Experience with SaaS or PaaS testing
• Experience with NVIDIA GPU hardware or GPU-accelerated software