Nvidia ATE Test Development Engineer 

United States, California 

356255345

We need a motivated individual who will help transfer GPU, Tegra and Automotive products from design engineering to mass production. You will be exposed to various aspects of building and testing NVIDIA products, from GPU/Tegra/Automotive to assembled boards. In addition, your 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 bringup, characterization and production for our latest GPU/Tegra/Automotive products.

• ATE test program development includes constructing or enhancing test methods, debug and integration oftimings/levels/patterns/TMand test flow into a test program.

• Own test methodologies and strive for continuous improvement of production test program quality/efficiency

• Actively participate with multi-functional teams including Product Development Engineering, DFT, and IC design to efficiently debug product failures and implement optimal solutions.

• Write and maintain scripts/tools for the test engineering group, enhance the group’s overall productivity and effectiveness

What we need to see:

• Bachelor Degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience).

• 3+ years of proven experience in IC Design, application or ATE testing of VLSI.

• Working knowledge and hands-on experience with Advantest 93K ATE platform (SmarTest 7 and 8) are crucial

• Critical thinking, good communication and teamwork skills

• Excellent debugging and analytical skills

• Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST.

Ways to stand out from the crowd:

• Analog circuit design, PLL’s

• System level testing/validation

• Knowledge of active thermal management

• Product engineering experience, such as yield analysis, vmin/fmax characterization, defect analysis

• Linux operating systems, and programming languages such as Perl/Python and/or C/C++, Java