Nvidia Senior DFT Methodology - Data Analytics Engineer 

China, Shanghai 

852745378

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.