Senior AI Agent Test Development Engineer, SDET
NVIDIA· Engineer, SW QA Test Dev
Shanghaifull-timePosted 4d ago
About the role
Senior AI-powered QA role focused on using AI tools to enhance software testing, develop scalable test frameworks, and improve test strategies for cloud-native systems at NVIDIA Shanghai.
Responsibilities
- Use and develop AI-powered tools to make software testing smarter, faster, and more effective!
- 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.
Qualifications
- 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.
Skills
Required:AI-powered QA toolingTest strategy and planningUnix/LinuxPythonKubernetes/containersObservability toolsLarge-scale failure testing
Last updated Oct 23, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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