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NVIDIA

Designs the chips and software that power AI

Senior Product System Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering or equivalent experience.
  • At least 5 years of technical experience in hardware design or systems.
  • Experience with failure analysis, debugging, architecture, or product engineering.
  • Familiarity with electrical product manufacturing processes.
  • Proficiency with laboratory equipment and laboratory setups, along with troubleshooting skills.
  • Proficient English is required.

Responsibilities

  • Take full responsibility for networking systems product support engineering matters.
  • Supervise Product Engineering activities across contract manufacturing lines while working with Hardware/Software/Firmware R&D, Architecture, Test Engineering, Quality & Reliability, and Operations groups.
  • Communicate directly with NVIDIA internal and external teams.
  • Manage and lead cross-functional teams to address quality events and failure modes in networking products, coordinating departments including hardware, software, and manufacturing to identify and resolve issues.
  • Perform in-depth root cause analysis by analyzing failure modes.
  • Monitor and control test yield for all stations.
  • Serve as the technical owner for test issues, test infrastructure, and test setups, and provide timely responses to issues.

Desired Qualifications

  • Experience as a test engineer or system/product engineer.
  • Experience in board design or systems.
  • Familiarity with ICT/JTAG technology and functional tests.
  • Familiarity with Linux operating systems and programming languages such as Perl or Python.

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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