Senior Test Methodology Engineer
NVIDIA
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 30 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We need a creative individual who understand ASIC and SoC test methodology, DFT techniques, NPI and ATE test program development and release. The individual will turn the test methodology into ATE test method library. efficient and user friendly TML will improve yield, reduce test time, speed up the NPI bringup process. the individual will work with our DFT team, test engineering team and product developing engineering team to bringup our GPU/Tegra products and ATE test program for mass production. In addition, the individual's responsibilities will include working with overseas manufacturing teams to increase yields, test coverage and capacity, and reduce production costs. If you are passionate about building the highest quality server products that will change the world, then we really want to hear from you.
What you'll be doing:
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
What we need to see:
Completion of bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience).
5+ years of relevant work experience in the semiconductor industry.
Knowledge of silicon verification, testing and manufacturing
Have knowledge in Advantest 93K ATE platform is essential
Experienced with Linux, and programming languages such as C/C++/Java and/or Perl/Python
Good communication skills and works well in a group environment and with cross functional teams that spans across continents
Experience with SRAM testing and familiarity with 2.5D or MCM assembly
Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST
Knowledge of system level testing/validation is a plus
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.