Software Engineering Intern, Test Development - 2027

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: mastersSkills: ["Problem-solving","Communication","Interpersonal skills","Proactive","Innovative","Self-motivated","Passion for learning"]

Test NVIDIA AI agents and end-to-end agentic workflows across the NVIDIA GPU platform. Build and execute functional, integration, end-to-end, reliability, and performance tests, and develop automated tests and evaluation frameworks for reasoning, tool use, multi-turn interactions, memory, and retrieval. Improve QA productivity with AI development tools, partnering with development teams on triage, root-cause analysis, verification, and test coverage.

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FursaFursa
NVIDIA
NVIDIA
1 week ago

Software Engineering Intern, Test Development - 2027

✓ 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

Test NVIDIA AI agents and end-to-end agentic workflows across the NVIDIA GPU platform. Build and execute functional, integration, end-to-end, reliability, and performance tests, and develop automated tests and evaluation frameworks for reasoning, tool use, multi-turn interactions, memory, and retrieval. Improve QA productivity with AI development tools, partnering with development teams on triage, root-cause analysis, verification, and test coverage.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time · 12 months
Job Function: Software Engineering
Seniority: Intern level

Key Responsibilities

  • •Test NVIDIA AI agents and end-to-end agentic workflows across the NVIDIA GPU platform.
  • •Design and execute functional, integration, end-to-end, reliability, and performance tests.
  • •Develop automated tests and evaluation frameworks for reasoning, tool use, multi-turn interactions, memory, and retrieval.
  • •Use AI development tools to improve productivity across test planning, test case development, execution, analysis, and automation.
  • •Collaborate with development teams to triage issues, perform root-cause analysis, verify fixes, and improve test coverage and quality.

Key Requirements

  • •Currently pursuing a master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields.
  • •Proficiency in Python and shell scripting with strong software development potential.
  • •Familiarity with AI, machine learning, large language models, and/or AI agent technologies.
  • •Experience using AI development tools to improve quality and productivity across the end-to-end QA workflow.
  • •Good knowledge of Linux and software testing methodologies, with strong problem-solving and communication skills.
Experience:AIMachine learningLarge language modelsAI agentsAgentic workflowsLLM applicationsQA automationRAG
Education:Master's in Computer Science, Computer Engineering, Electrical Engineering (or related)
Skills:Problem-solvingCommunicationInterpersonal skillsProactiveInnovativeSelf-motivatedPassion for learning
Languages:English
Tech Stack:PythonShell scriptingAI development toolsLinuxDockerKubernetesOpenStackCloud-native technologiesNVIDIA GPU hardwareCUDAParallel programmingRAGTool callingPrompt engineeringMulti-agent systemsTest automation

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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