Nvidia DFT Methodology - Data Analytics Engineer 

United States, California 

214443412

What you'll be doing:

• As a senior engineering member on our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling.

• You will collaborate 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 address 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.

What we need to see:

• BSEE (or equivalent experience) with 5+, MSEE with 3+, or PhD with at least 1 yr or more of professional experience in Data Visualization, Data Processing & Transformation, Applied Machine Learning or Database Management.

• Excellent knowledge in using statistical tools for data analysis & insights.

• 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.

Ways to stand out from the crowd:

• Understanding of fundamental DFT topics, such as, fault modeling, ATPG and fault simulation

• Experience in application of AI for EDA-related problem-solving

• Good understanding of technology and passionate about what you do

• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment