Senior DFT Methodology - Data Analytics Engineer

Overview

• 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 to join us today.
• Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips.
• What you'll be doing: As a senior member in our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling.
• You will work with multi-functional teams, implementing brand-new methodologies for improving our outgoing quality of chips including advanced fault modeling and Silicon Lifecycle Management.
• You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods.
• In addition, you will help develop and deploy DFT methodologies for our next generation products while also exploring LLM-based solutions.
• You will also help mentor junior engineers on test designs and trade-offs including cost and quality.
• What we need to see: BSEE (or equivalent experience) with 7+, MSEE with 5+, or PhD with 3+ years of experience in low-power DFT, Data Visualization, Applied Machine Learning or Database Management.
• Understanding of fundamental DFT topics, such as, fault modeling, ATPG and fault simulation.
• Experience in advanced fault models and Silicon Data Corruption is a plus.
• Experience in application of AI for EDA-related problem-solving is a plus.
• Excellent knowledge in using statistical tools for data analysis & insights.
• Good exposure to multi-functional areas including RTL & clocks design, STA, place-n-route and power.
• Experience in Silicon debug and bring-up on the ATE or SLT platforms.
• Strong programming and scripting skills in Perl, Python, C++ or Tcl desired.
• Outstanding written and oral communication skills with the curiosity to work on rare challenges.