Test Methodology Engineer: ATE for GPUs & AI Servers Equity

Nvidia Corporation in; Santa Clara (CA); On-site; USD 100,000 - 167,000; Full time

Job summary

NVIDIA is seeking a Test Methodology Engineer to join our Santa Clara team. You will transfer GPU/AI server products from design to mass production, define and support ATE test programs, and collaborate with overseas manufacturing to improve yields and reduce costs.

The role requires a Bachelor's in Electrical/Computer Engineering and 3+ years in semiconductors; proficiency in C/C++/Java and Python, Linux, and knowledge of DFT methods.

Qualifications

• Bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent).
• 3+ years of relevant semiconductor industry experience.
• Knowledge of silicon verification, testing and manufacturing.

Responsibilities

• Define, develop, implement, and support ATE test program solutions for the next generation of GPUs and AI server products.
• ATE test method code development and debugging
• Scripting and automation tools development and debugging
• Actively participate in cross function team including Product Development Engineering, DFT, and IC design to efficiently debug any product failures and implement optimal solutions

Skills

C/C++/Java

Perl/Python

Linux

Silicon verification

Semiconductor experience

DFT (SCAN, ATPG, MBIST, IOBIST)

SRAM testing

Cross-functional collaboration

Education

Bachelor's degree in Electrical/Computer Engineering

Tools

Advantest 93K ATE

Job description

NVIDIA is seeking a Test Methodology Engineer to join our Santa Clara team. You will transfer GPU/AI server products from design to mass production, define and support ATE test programs, and collaborate with overseas manufacturing to improve yields and reduce costs.

The role requires a Bachelor's in Electrical/Computer Engineering and 3+ years in semiconductors; proficiency in C/C++/Java and Python, Linux, and knowledge of DFT methods.