Infrastructure Tool Development Intern - 2027

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Product ManagementEducation: mastersSkills: ["Problem solving","Collaborative","Interpersonal skills","Communication","Data analysis"]

Join the Silicon Co-Design Group to design and automate chip validation workflows. You’ll build tools for test case execution, data collection, and results analysis, collaborating with silicon co-design, feature design, and software teams to define requirements. You’ll also investigate and integrate AI-driven solutions (including AI agents and skills) to improve workflow automation and test efficiency while deepening your understanding of GPU/SoC features and validation processes.

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FursaFursa
NVIDIA
NVIDIA
6 days ago

Infrastructure Tool Development Intern - 2027

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Join the Silicon Co-Design Group to design and automate chip validation workflows. You’ll build tools for test case execution, data collection, and results analysis, collaborating with silicon co-design, feature design, and software teams to define requirements. You’ll also investigate and integrate AI-driven solutions (including AI agents and skills) to improve workflow automation and test efficiency while deepening your understanding of GPU/SoC features and validation processes.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Intern level

Key Responsibilities

  • •Design tools to automate chip feature validation, data collection, test case execution, and results analysis.
  • •Collaborate with the silicon co-design group, feature design team, and software team to capture tool requirements and cover qualifications.
  • •Investigate, develop, and integrate AI solutions (including AI agent, skills, mcp) to speed up SCG workflow automation.
  • •Improve silicon/platform test coverage and chip characterization test efficiency through tool development.
  • •Work within a team focused on chip co-design, bring-up, and validation.

Key Requirements

  • •Pursuing a Masters degree in Microelectronics/Integrated Circuit/EE/Electronic Science and technology.
  • •Good system validation knowledge including CPU, memory, GPU, PCIE and thermal/power control.
  • •Strong problem solving, collaboration, and interpersonal skills.
  • •Fluent in English (written and verbal).
  • •Strong proficiency in Python and at least one static language (C, C++, C# etc).
Experience:Chip validationAI/MLAutomation
Education:Master's in Microelectronics/Integrated Circuit/EE/Electronic Science and technology
Skills:Problem solvingCollaborativeInterpersonal skillsCommunicationData analysis
Languages:English
Tech Stack:PythonCC++C#AI/MLData analysisAI agentMCPAutomation/diagnosis toolsFull stack development

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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