Software Engineering Intern, CUDA Test Development - 2027

NVIDIA
Shanghai
Workplace: OnsiteInternshipFunction: Software EngineeringEducation: mastersSkills: ["Communication","Collaboration","Software testing sense","Debugging","Failure analysis"]

Design and implement tests for CUDA libraries and drivers, then automate CUDA test execution with clear test plans and robust automation testing infrastructure. Triage test results to isolate failures and improve overall test coverage. You’ll work closely with the CUDA testing and safety-focused team, applying software testing best practices and leveraging AI/automation to boost end-to-end QA quality and productivity.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Software Engineering Intern, CUDA Test Development - 2027

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Last checked: 14 hours agoStatus: Live

Job Summary

Design and implement tests for CUDA libraries and drivers, then automate CUDA test execution with clear test plans and robust automation testing infrastructure. Triage test results to isolate failures and improve overall test coverage. You’ll work closely with the CUDA testing and safety-focused team, applying software testing best practices and leveraging AI/automation to boost end-to-end QA quality and productivity.
Location: Shanghai
Workplace: Onsite
Employment Type: Internship
Job Function: Software Engineering
Seniority: Intern level

Key Responsibilities

  • •Design and implement tests for CUDA library and driver.
  • •Automate CUDA tests, design test plans, and enable them in automation testing infrastructure.
  • •Triage test results and isolate test failures.
  • •Improve test coverage based on testing outcomes.
  • •Collaborate with the CUDA automation testing and test development team.

Key Requirements

  • •Work 5 days a week for at least 1 year.
  • •Pursuing an MS or PhD degree in computer science from a leading university.
  • •Familiar with programming and debugging using C/C++ and Python.
  • •Interested in test case development, test automation, and failure analysis.
  • •Experience using AI to improve quality and productivity across the end-to-end QA workflow.
Education:Master's in computer science
Skills:CommunicationCollaborationSoftware testing senseDebuggingFailure analysis
Languages:English
Tech Stack:CUDAC/C++PythonAIAI agentsParallel programmingVectorCASTGcovAutomation testing infrastructure

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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