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Senior AI Infra Test Development Engineer, SDET

NVIDIA· Engineer, SW QA Test Dev
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Shanghai, ChinaFull-timePosted 4d ago

About the role

Senior AI Infrastructure Test Development Engineer responsible for creating test plans, automation scripts, and tools to support QA across Linux-based, containerized, and Kubernetes environments. Focused on end-to-end SWQA workflows, AI-assisted testing, and improving test quality and developer productivity. On-site in Shanghai, China.

Responsibilities

  • 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.

Qualifications

  • 5+ years of experience in infrastructure software development or test development.
  • An MS or PhD in computer science or a related field is preferred.
  • Strong Python programming skills, with the ability to write clean, maintainable, well-tested code.
  • Hands-on experience designing end-to-end SWQA workflows and automation frameworks, including practical use of AI tools to improve test development or debugging.
  • Strong Linux expertise and experience testing software deployed with Docker and Kubernetes.
  • A solid understanding of risk-based testing, testability, observability, regression strategy, and release criteria.
  • Familiarity with bare-metal infrastructure and some provisioning or networking technologies, such as BMC/Redfish, PXE, DPUs, or TCP/IP.
  • The ability to debug multi-layer failures spanning services, infrastructure, networking, and deployment configuration.
  • Demonstrated technical ownership and the communication skills to align stakeholders, deliver solutions, and measure outcomes.

Skills

Required:PythonLinuxDockerKubernetesTest AutomationCommunication
Nice to have:AI-assisted testing

Benefits

  • Competitive salaries
  • Extensive benefits package
  • Diversity, inclusion, and flexibility in the workplace
Last updated Oct 23, 2026. Interested? Apply on the company site.

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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