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NVIDIA

Designs the chips and software that power AI

IC Reliability Practical Engineer

Hardware Validation & TestingPosted on Nov 10
Full-timeYokne'am Illit, IsraelNo salary listedIn-person

About the Job

Requirements

  • At least 2 years of experience as an Electronic Practical Engineer.
  • A high school diploma or equivalent experience.
  • Knowledge of operating laboratory equipment such as oscilloscopes and digital voltmeters.
  • Basic knowledge of networking, computers, and operating systems.
  • Knowledge of software programming in C++, Perl, Linux, or Python.
  • Good written and verbal English skills.

Responsibilities

  • Perform various types of testing on NVIDIA integrated circuits.
  • Perform integrated circuit testing to produce reliable and precise data supporting integrated circuit device analysis.
  • Maintain and operate laboratory equipment, including integrated circuit evaluation systems, high-temperature operating life systems, temperature cycling and high-temperature storage ovens, oscilloscopes, digital voltmeters, and other tooling.
  • Read schematics of electronic circuits.
  • Support related activities, including incoming and outgoing quality control, integrated circuit inventory management, and shipments.
  • Carry out quality and reliability tasks while following strict execution methodologies.
  • Follow and ensure strict safety procedures and checks.

Desired Qualifications

  • Knowledge of automated test equipment, high-temperature operating life, temperature cycling, and system-level test operations.
  • Understanding of electronic circuits.
  • Understanding of automated test equipment, including integrated circuit testers, system-level testing, and reliability equipment.

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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