NVIDIA
Senior DFT Methodology - Data Analytics and Applied AI Engineer
$152K–$264K
US, CA, Santa Clara · Senior · Full-time · Posted Oct 28, 2026
- Experience
- BSEE (or equivalent experience) with 5+, MSEE with 3+, or PhD with 1+ years in the stated fields.
- Education
- BSEE (or equivalent experience), MSEE, or PhD.
About the job
Develop data analytics, pipelines, and applied AI methods for pre- and post-silicon DFT engineering, while advancing DFT methodologies for next-generation products.
What you'll do
- Build and maintain data pipelines and ETL processes for DFX Engineering data, ensuring data quality and consistency with cross-functional teams.
- Analyze and model complex datasets using statistical tools and Applied AI methods; design scalable, fault-tolerant distributed database solutions.
- Develop and deploy DFT methodologies using Gen AI solutions, and mentor junior engineers on test designs and trade-offs.
What they ask for
- BSEE (or equivalent experience) with 5+, MSEE with 3+, or PhD with 1+ years of experience in low-power DFT, Data Visualization, Applied Machine Learning or Database Management.
- Experience with SQL, ETL, and data modeling; hands-on experience with cloud platforms (AWS, Azure, GCP).
- Strong programming and scripting skills in Perl, Python, C++ or Tcl.
- Excellent knowledge of statistical tools for data analysis and insights.
Nice to have
- Experience in data pipeline and database architecture for real-world systems.
- Experience applying AI to EDA-related problem-solving.
Pay
152,000 USD - 230,000 USD (base salary, Level 3); 168,000 USD - 264,500 USD (base salary, Level 4)
Tools
SQL, ETL, AWS, Azure, GCP, Perl, Python, C++
AI focus
Apply AI methods to DFT and EDA-related problems, and develop and deploy DFT methodologies using Gen AI solutions.
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