CUDA Full Stack & AI Test Dev Intern - 2027

NVIDIA
Shanghai
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningSkills: ["Troubleshooting","Problem-solving","Communication","Collaboration"]

Build and maintain full-stack web applications used by CUDA engineers to analyze automated test results. Develop data-intensive dashboards, grids, and visualization, and ship front-end and back-end features using React, Python/Node.js, databases, and APIs. Extend the platform with LLM-powered capabilities for test analysis, failure diagnosis, and AI application testing, while supporting QA testing and automation for NVIDIA ARM-based products.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

CUDA Full Stack & AI Test Dev Intern - 2027

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Build and maintain full-stack web applications used by CUDA engineers to analyze automated test results. Develop data-intensive dashboards, grids, and visualization, and ship front-end and back-end features using React, Python/Node.js, databases, and APIs. Extend the platform with LLM-powered capabilities for test analysis, failure diagnosis, and AI application testing, while supporting QA testing and automation for NVIDIA ARM-based products.
Location: Shanghai
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Develop and maintain full-stack web applications for CUDA test analysis, including dashboards, data grids, and visualization.
  • •Build front-end and back-end features using React, Python/Node.js, databases, and APIs.
  • •Develop LLM-powered features for automated test analysis, failure diagnosis, and engineering productivity.
  • •Execute QA testing and test automation for NVIDIA ARM-based products and AI applications.

Key Requirements

  • •Pursuing an MS or PhD degree in computer science.
  • •Work 5 days a week for at least 1 year.
  • •Familiarity with modern full-stack development, including JavaScript frameworks, backend development, databases, and APIs.
  • •Good Python scripting skills.
  • •Understanding of LLM applications, AI agents, and AI application testing/evaluation.
Experience:AIMachine learning
Education:
Skills:TroubleshootingProblem-solvingCommunicationCollaboration
Languages:English
Tech Stack:CUDAReactPythonNode.jsJavaScriptDatabasesAPIsLLMAI agentsPlaywrightVitestARM

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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