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 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:
What we need to see:
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.
Ways to stand out above the crowd
BS or MS degree in EE/CE (or equivalent experience)
3+ years of relevant industry experience
Strong EE fundamentals, knowledgeable in digital design, signal integrity, statistics, timing analysis, fault analysis, sampling and computer architecture.
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
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 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.