Software Engineering Intern, Test Development - 2027

NVIDIA
Shanghai
Workplace: OnsiteInternshipFunction: Software EngineeringEducation: mastersSkills: ["Attention to detail","Analytical thinking","Systematic problem-solving","Collaboration","Initiative"]

Collaborate with cross-functional teams to design test matrices and build automated test suites covering API, UI, CLI, and end-to-end scenarios. Develop test plans and cases, write scripts in Python, and manage the full bug lifecycle from filing through reproduction and resolution. Use AI-powered tools to accelerate test generation, triage, and root-cause analysis, and improve QA efficiency through tooling and automation.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Software Engineering Intern, Test Development - 2027

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Collaborate with cross-functional teams to design test matrices and build automated test suites covering API, UI, CLI, and end-to-end scenarios. Develop test plans and cases, write scripts in Python, and manage the full bug lifecycle from filing through reproduction and resolution. Use AI-powered tools to accelerate test generation, triage, and root-cause analysis, and improve QA efficiency through tooling and automation.
Location: Shanghai
Workplace: Onsite
Employment Type: Internship
Job Function: Software Engineering
Seniority: Intern level

Key Responsibilities

  • •Analyze requirements and design test matrices for functionality, performance, and edge cases.
  • •Develop test plans and cases and build/maintain automated test suites (API/UI/CLI/E2E) in Python.
  • •Use AI-powered tools and agentic workflows to accelerate test generation, triage, and root-cause analysis.
  • •Manage the full bug lifecycle, including filing, reproduction, and driving cross-functional collaboration to resolution.
  • •Reproduce and verify customer-reported issues and find opportunities to improve QA efficiency through tooling and automation.

Key Requirements

  • •Pursuing a Master’s or higher in CS/EE/CE or a related field.
  • •Solid software development skills with hands-on project experience.
  • •Proficient in Python, with familiarity with Unix/Linux and shell scripting.
  • •Experience using AI-powered development tools to improve productivity in real projects.
  • •Familiarity with Docker/Kubernetes and cloud-based test infrastructure.
Education:Master's in CS / EE / CE
Skills:Attention to detailAnalytical thinkingSystematic problem-solvingCollaborationInitiative
Languages:English
Tech Stack:PythonUnix/LinuxShell scriptingAPIUICLIE2EDockerKubernetesCloud-based test infrastructureTest designTest automationDefect analysisPytestCI/CDLLM evaluationPrompt engineeringAI guardrailsGitHubAgentic workflows

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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