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NVIDIA

Designs the chips and software that power AI

IC Test Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeHsinchu, Hsinchu City, TaiwanNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science degree in Electrical Engineering is required.
  • At least 3 years of experience in Test and Product Engineering is required.
  • Strong understanding of IC manufacturing flows and production test methodologies is required.
  • Hands-on coding or scripting experience in Python, C/C++, VBA, or a similar language is required.
  • Ability to work effectively with cross-functional and geographically distributed teams is required.
  • Good written and verbal communication skills in English are required.

Responsibilities

  • Define, develop, and maintain IC production test programs from wafer sort through final test.
  • Design and optimize factory test plans to improve coverage, test time, yield, and cost.
  • Own production execution aspects, handling issues including debug, root-cause analysis, and corrective actions.
  • Drive continuous improvements in production flows, automation, and infrastructure.
  • Work closely with Design, Architecture, DFT, Q&R, Software, and Manufacturing teams across geographies.
  • Coordinate with overseas factories and partners to ensure scalable and reliable manufacturing.

Desired Qualifications

  • Experience with IC testers such as Teradyne UltraFlex or similar platforms.
  • Background in networking silicon, including Ethernet, InfiniBand, or high-speed interfaces.
  • Experience working directly with high-volume manufacturing.
  • Experience driving yield improvement and cost reduction initiatives.

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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