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NVIDIA

Designs the chips and software that power AI

Circuit Validation Engineer Intern

Hardware Validation & TestingConfirmed live in the last 24 hours
Internship · Summer 2027Shanghai, ChinaNo salary listedIn-person

About the Job

Requirements

  • Pursuing a Master's or PhD in Microelectronics, Electronic Engineering, or Computer and Related Professionals.
  • Hands-on experience with silicon bring-up, frequency and power characterization, tester-to-system/simulation correlation, and laboratory tools such as oscilloscopes, multimeters, and data acquisition systems.
  • Practical hands-on experience leveraging artificial intelligence tools and AI-augmented engineering workflows.
  • Knowledge of MOSFETs, low-dropout regulators, DC/DC converters, filters, digital design, timing analysis, fault analysis, sampling, and computer architecture.

Responsibilities

  • Bring up new chips and characterize next-generation GPU ASICs in post-silicon.
  • Work closely with chip and board designers to ensure hardware meets design objectives and is ready for mass production.
  • Help design tools to automate product definitions, data collection, test case execution, and results analysis.
  • Analyze pre-production silicon in advanced process technologies for performance, power, yield, and quality to define high-performance, power-efficient products.
  • Develop post-silicon methodologies to characterize silicon features, correlate silicon behavior with simulations, and provide design feedback.
  • Build secure, traceable, and validated AI-assisted workflows for analysis, debugging, and methodology automation, with human oversight for critical engineering judgments.

Desired Qualifications

  • Experience with Perl, C/C++, Python, MATLAB, Windows, and Linux operating systems.
  • Experience with power integrity and signal integrity simulation and correlation with schematic and PCB design.
  • Familiarity with retrieval-augmented generation, AI agents, tool invocation, large language model benchmarking, and engineering workflow automation.
  • A proven record of technical innovation through shipped methods, tools, debug systems, patents, or published technical works.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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