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Senior Test Development Software Engineer, SDET

NVIDIA Shanghai, Shanghai, China

onsitefull-time
Posted Aug 21, 2026

**Role & seniority: ** Experienced QA Engineer (requires 2+ years testing experience; “experienced” level)

**Stack/tools: **

  • Automation: Python, AI-based tools for test generation/automation, code coverage, triaging

  • Containers/orchestration: Docker, Kubernetes

  • Cloud: AWS, Azure, other related cloud services

  • Domain add-on: ML/DL/GPU (plus)

  • AI/QA: “Agentic AI methodology” applied to full-stack QA tooling

  • Top 3 responsibilities:

    • Develop test plans and test cases for NVIDIA Developer Tools/Libraries

    • Collaborate with development teams to identify and resolve defects

    • Automate test cases using Python and AI-based tools (including agentic AI approach)

  • Must-have skills:

    • 2+ years in software testing

    • Strong test planning/case design

    • Python proficiency for automation

    • Practical experience with Docker and Kubernetes

    • Experience testing/automating workflows on AWS/Azure

    • Ability to use AI tools for test case creation/automation + code coverage + triage

    • Master’s degree in CS or related field

  • Nice-to-haves:

    • Knowledge/experience applying agentic AI in coding/workflow automation

    • Familiarity with ML/DL and GPU

  • Location & work type: Not specified in the provided text.

Full Description

We are looking for an experienced QA engineer to test our NVIDIA Developer Tools and Libraries. If you need a brief of the products, visit https://developer.nvidia.com/tools-overview. We hope you have experience testing and automating the use of AWS, Azure and other related cloud services, are familiar with docker, k8s and proficient in using Python. If you have experiences or knowledge in applying Agentic AI in coding or automating workflows, that will make you outstanding.

What you’ll be doing

  • Develop and implement test plans and test cases for NVIDIA Developer Tools.
  • Work with development teams to identify and resolve software defects.
  • Automate test cases using Python and AI based tools.
  • Apply Agentic AI methodology in the full stack QA tooling.
  • Work with cloud services such as AWS and Azure.

What we need to see

  • Master’s degree in Computer Science or related field.
  • 2+ years of experience in software testing.
  • Experience with AI development tools used in creating test cases, automating test cases, code coverage, triaging.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Knowledge of ML, DL and GPU is a plus.
  • If you are passionate about software testing and automation, have a strong background in computer science, and are excited about working with pioneering technology like the NVIDIA Developer Tools, we want to hear from you!We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
PythonSoftware TestingAutomationDockerKubernetesAWSAzureAgentic AICloud ServicesTest PlanningTest Case DevelopmentSoftware DefectsMachine LearningDeep LearningGPUmulti-location

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