4 months ago
Shanghai, ChinaSenior
Responsibilities
- Use and develop AI-powered tools to improve software testing efficiency and effectiveness.
- Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization.
- Collaborate 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 experience using AI to reduce testing time, improve defect detection, or increase test coverage.
- Preferred experience building AI-driven solutions that streamline QA workflows or reduce manual effort.
- Preferred experience with SaaS or PaaS testing.
- Preferred experience with NVIDIA GPU hardware or GPU-accelerated software.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.