Senior Test Development Software Engineer, SDET

NVIDIA
Shanghai
Full timeFunction: Software EngineeringExperience: 2+ yearsEducation: mastersSkills: ["Software testing","Test automation","Problem-solving","Collaboration","Attention to detail"]

Develop and implement test plans and test cases for NVIDIA Developer Tools, partnering with development teams to identify, triage, and fix software defects. Automate test cases using Python and AI-based tools, applying agentic AI methodology in full-stack QA tooling. Validate the quality of cloud-based workflows by testing against AWS and Azure services, while leveraging container technologies like Docker and Kubernetes to build reliable test infrastructure.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Senior Test Development Software Engineer, SDET

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Develop and implement test plans and test cases for NVIDIA Developer Tools, partnering with development teams to identify, triage, and fix software defects. Automate test cases using Python and AI-based tools, applying agentic AI methodology in full-stack QA tooling. Validate the quality of cloud-based workflows by testing against AWS and Azure services, while leveraging container technologies like Docker and Kubernetes to build reliable test infrastructure.
Location: Shanghai
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

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

Key Requirements

  • •Master’s degree in Computer Science or related field.
  • •2+ years of experience in software testing.
  • •Experience using AI development tools for creating and automating test cases, including code coverage and triaging.
  • •Experience with containerization technologies such as Docker and Kubernetes.
  • •Knowledge of ML, DL, and GPU (a plus).
Experience:2+ years
Education:Master's in Computer Science
Skills:Software testingTest automationProblem-solvingCollaborationAttention to detail
Tech Stack:PythonAWSAzureDockerKubernetesK8sAIAgentic AICode coverageMLDLGPU

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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