Senior AI Agent Test Development Engineer, SDET

NVIDIA
Shanghai
Full timeFunction: QA, Test & Release EngineeringExperience: 5+ yearsSkills: ["Communication","Problem-solving","Curiosity"]

Use and develop AI-powered tools to make software testing smarter and more effective. Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization. Partner with product and engineering teams to 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 testing for cloud-native systems and automate test cases within scalable frameworks.

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FursaFursa
NVIDIA
NVIDIA
3 weeks ago

Senior AI Agent Test Development Engineer, SDET

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Use and develop AI-powered tools to make software testing smarter and more effective. Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization. Partner with product and engineering teams to 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 testing for cloud-native systems and automate test cases within scalable frameworks.
Location: Shanghai
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Use and develop AI-powered tools to improve software testing effectiveness and efficiency.
  • •Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization.
  • •Collaborate with product and engineering 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 manage the bug lifecycle.

Key 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 including test strategy, test planning, and failure analysis.
  • •Proficiency with Unix/Linux and shell or Python programming.
Experience:5+ years
Education:
Skills:CommunicationProblem-solvingCuriosity
Tech Stack:Unix/LinuxShellPythonKubernetesContainersCI/CDCloud-native systemsPrometheusGrafanaELK StackDatadogKWOKChaos MonkeySaaSPaaSNVIDIA GPU

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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