DFT Methodology - Data Analytics Engineer

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 address, and that matter to the world. This is our life’s work, to amplify human creativity 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 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

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you!

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