NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice, join our diverse team today!
NVIDIA Silicon Solutions Group is now looking for a Senior System Level Product Engineer to be part of team! As a member of this team, you are responsible for developing test specs for manufacturing line with an innate understanding of product needs. You will cover products in all business units that NVIDIA provides solutions for. Prior experience in the lab with system level post silicon bring-up and debug is helpful.
What you will be doing:
Work closely with other HW engineering teams such as silicon design/characterization teams, IO design/validation teams, system feature owners, operations to determine coverage needs and constraints to resolve appropriate test conditions, diagnostic contents for production line screen.
Define requirements to SW and board teams to support/improve test infrastructure, debug knobs and data collection features needed to support manufacturing screens effectively.
Craft creative solutions and workarounds through volume data analysis and lab experimentation to solve challenging yield and test problems seen in production.
Lead optimization and continuous improvement efforts on the production screen spec definition processes to minimize waste and meet test time, yield, DPPM requirements.
Support customer facing and quality teams during customer escalations to understand the issue and fix gaps identified in coverage.
Define procedures to facilitate correlation activities between production testing infrastructure and internal diagnostic programs.
Create key performance indicators used to evaluate the effectiveness of the new tests.
What we need to see:
BS or MS degree in EE/CE, or equivalent experience.
5+ years of relevant industry experience.
Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture.
SLT experience. Strong data analysis skills. Prior experience working with volume data is a plus.
Validated hands-on lab experience with silicon bringup and lab debug.
Good understanding of firmware/driver structures and their interaction with HW.
Problem solving, debugging, analysis and logical reasoning skills with examples to prove it.
Experience with Python, BASH, Linux.
Ways to stand out from the crowd:
Deep understanding of technology and passionate about what you do.
Familiarity with statistical methods and tools for data analysis.
Strong collaborative and communication skills, specifically a shown ability to effectively guide and influence within a dynamic environment.
Strive to be a standout colleague and be ready to work with global teams from diverse cultural backgrounds in a high energy environment.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and hard-working people in the world working with us. If you're creative and autonomous, we want to hear from you!
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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.”
