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NVIDIA

Designs the chips and software that power AI

ATE Test Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science in Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience.
  • At least 5 years of hands-on experience with Advantest V93000 (PS5000) in the SmarTEST 8 environment and Teradyne UltraFLEXplus with IG-XL software.
  • Proficiency in script automation using Python, C++, or Perl, and digital vector processing and debugging.
  • Familiarity with integrated-circuit failure-analysis flows, failure isolation, electrical fault localization, and yield analysis.

Responsibilities

  • Port and develop test vectors, patterns, and software on the Advantest V93000 system, including the PS5000 module, and on Teradyne UltraFLEXplus platforms.
  • Convert design simulation data, such as VCD, EVCD, and STIL, into functional, scan, and structural test patterns to recreate integrated-circuit failures on the tester.
  • Partner with failure-analysis engineers, design teams, and test-floor technicians to translate physical failure-analysis steps, such as ATE-assisted EMMI or OBIRCH, into reproducible electrical test flows.
  • Optimize tester hardware bandwidth, signal integrity, and diagnostic software flows to improve turnaround time from device failure to root cause.
  • Design, prototype, and validate custom test hardware, including specialized load boards, probe cards, and device-under-test interfaces, for failure-analysis setups.

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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