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NVIDIA

Designs the chips and software that power AI

Test Product Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeYokne'am Illit, IsraelNo salary listedIn-person

About the Job

Requirements

  • A BSc in Computer Science, Electrical Engineering, or a related field is required.
  • At least 3 years of related software development experience is required.
  • At least 3 years of proven Python development experience is required.
  • Programming experience in one or more additional languages, such as Perl or C, is an advantage.
  • Excellent knowledge of a version control system, preferably Git, is required.
  • Experience working with UNIX/Linux operating systems is required.
  • A background in software/hardware product integration and hardware lab measurement equipment is required.
  • Hands-on experience collaborating with global, cross-functional teams is required.

Responsibilities

  • Design and develop automated tests for networking switches and DPU adapters, collaborating with hardware, ASIC, and software engineering teams to achieve reliable tests with high coverage.
  • Participate in design, DFT, and testing of next-generation network products.
  • Help define and develop tests from early development through final testing of network systems in mass production.
  • Work with overseas manufacturing mass-production teams to increase yields, test coverage, and capacity, and reduce production costs.
  • Lead test-solution innovations to reduce test time and improve product quality.
  • Use test suites to identify, debug, and resolve production-process problems, and drive issues to closure.
  • Support and fix bugs in existing test code, and support production lines with deployments, patches, and ongoing maintenance.

Desired Qualifications

  • Excellent programming, debugging, performance-analysis, and test-design skills.
  • Knowledge of hardware testing, mass-production flows, and yield-improvement methodologies.

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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