NVIDIA is looking for a Lead ATE Test Development Engineer to join our LPU team! We are looking for a creative and highly experienced ATE Test Development Engineer Lead for our LPU products! NVIDIA has continuously reinvented itself for three decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing — with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.
We need a motivated individual who will help transfer LPU products from design engineering to mass production. Along with ATE test development, you will be exposed to all aspects of the LPU silicon lifecycle, from process engineering to SLT testing, to Silicon validation to system production testing and eventually Datacenter deployment. 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:
Serve as the lead for defining, developing, implementing and supporting ATE test development. This includes, defining test programs, driving test hardware development, leading bring up of new silicon, characterization and enabling production release of our latest LPU product.
Develop test methods and provide guidance on streamlining test program development to provide the best possible coverage on ATE to reduce DPPM downstream.
Work closely with the SLT and system validation teams to understand how failures at the system level can be replicated on ATE to implement critical tests and/or test conditions on ATE
Work collaboratively with the system architects, silicon design, and operations teams to understand the chip application in field and implement new test strategies on ATE to improve reliability and DPPM in the field.
Actively participate with cross functional teams including Product Development Engineering, DFT, and IC design to efficiently debug product failures and implement optimal solutions.
What we need to see:
Bachelor Degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience).
12+ years of relevant 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 essential
Critical thinking, good communication and collaboration skills
Excellent debugging and analytical skills
Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST.
Ways to Stand Out from the Crowd:
Test Hardware design knowledge specifically for Signal and Power integrity
System level testing/validation exposure
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
Industry experience with high power, high volume deployment of high quality and reliable SOCs via ATE test development
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
