Circuit Validation Engineer Intern - 2027

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Design (Product/UX/UI/Visual)Education: mastersSkills: ["Problem-solving","Data analysis","Collaboration","Interpersonal skills","Debugging"]

Work with NVIDIA’s Silicon Co-Design Group to validate next-generation GPU ASICs through post-silicon bring-up and characterization. Collaborate with chip and board designers to ensure hardware meets design objectives for mass production. Build and improve tools for automating product definitions, test execution, and results analysis, while analyzing pre-production silicon for performance, power, yield, and quality. Develop post-silicon methodologies and AI-assisted engineering workflows with human oversight.

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FursaFursa
NVIDIA
NVIDIA
5 days ago

Circuit Validation Engineer Intern - 2027

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Work with NVIDIA’s Silicon Co-Design Group to validate next-generation GPU ASICs through post-silicon bring-up and characterization. Collaborate with chip and board designers to ensure hardware meets design objectives for mass production. Build and improve tools for automating product definitions, test execution, and results analysis, while analyzing pre-production silicon for performance, power, yield, and quality. Develop post-silicon methodologies and AI-assisted engineering workflows with human oversight.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Design (Product/UX/UI/Visual)
Seniority: Intern level

Key Responsibilities

  • •Perform new chip bring-up and characterize next-generation GPU ASICs in post-silicon.
  • •Collaborate with chip and board designers to ensure hardware meets design objectives for mass production readiness.
  • •Develop tools to automate product definitions, data collection, test case execution, and results analysis.
  • •Analyze pre-production silicon for performance, power, yield, and quality, and define fastest power-shipping products.
  • •Develop post-silicon methodologies to characterize silicon features, correlate silicon behavior with simulations, and provide design feedback, including AI-assisted workflows with human oversight.

Key Requirements

  • •Pursuing a Master or PhD degree in Microelectronics/Electronic Engineering/Computer and Related Professionals.
  • •Excellent problem solving, data analysis, collaborative, and interpersonal skills.
  • •Hands-on experience with silicon bring-up, frequency and power characterization, and tester-to-system/simulation correlation.
  • •Experience with lab tools including oscilloscopes, multimeters, and DAQ.
  • •Knowledge of MOSFETs, LDO, DC/DC, filters, digital design, timing analysis, fault analysis, sampling, and computer architecture.
Education:Master's in Microelectronics/Electronic Engineering/Computer and Related Professionals
Skills:Problem-solvingData analysisCollaborationInterpersonal skillsDebugging
Tech Stack:PerlC/C++PythonMatlabWindowsLinuxMOSFETsLDODC/DCOscilloscopesMultimetersDAQRAGAI agentsLLM benchmarkingTool invocationSCH/PCB design

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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