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NVIDIA

Designs the chips and software that power AI

Senior Local Product Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • A B.S. in Electrical or Electronic Engineering, or equivalent experience, is required.
  • At least 5 years of technical experience in hardware design or systems is required.
  • Experience in failure analysis, debugging, architecture, or product engineering is required.
  • Familiarity with electronic product manufacturing processes is required.
  • Proficiency with laboratory equipment and setups, including troubleshooting, is required.
  • Proficiency in English is required.

Responsibilities

  • Supervise product engineering activities on contract manufacturing lines, working closely with hardware, software, firmware research and development, architecture, test engineering, quality and reliability, and operations groups.
  • Communicate directly with internal and external groups.
  • Manage and lead cross-functional teams addressing quality events and failure modes, coordinating hardware, software, and manufacturing departments to identify and resolve issues.
  • Perform root cause analysis by analyzing failure modes, and monitor and control test yield across all stations.
  • Provide onsite tier-one support for test validation, test infrastructure, test setup, and station troubleshooting.
  • Introduce and train the contract manufacturing engineering team on new tests.

Desired Qualifications

  • Experience as a test engineer or product engineer.
  • Experience in board design or systems.
  • Familiarity with in-circuit test, JTAG, reliability tests such as burn-in and highly accelerated stress screening, and automated test equipment functional tests.
  • Experience 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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