Position: Senior DFT Methodology Engineer (Data Analytics and Applied AI) at NVIDIA, hybrid role in Santa Clara, California, United States. The engineer will work on pre-silicon and post-silicon data analytics—visualization, insights, and modeling—and will design and maintain data pipelines and ETL processes for ingestion and processing of DFX data from various sources. The role leads cross-functional collaborations to define data requirements and ensure data quality and consistency; applies algorithms and statistical tools to analyze complex datasets and explores Applied AI methods. The role also develops and deploys DFT methodologies for next-generation products using Gen AI, and mentors junior engineers on test designs and trade-offs. Requirements include: BSEE with 5+ years, MSEE with 3+, or PhD with 1+ year in low-power DFT, data visualization, applied ML or DB management; strong SQL, ETL, and data modeling experience; hands-on with cloud platforms (AWS, Azure, GCP); ability to design scalable, fault-tolerant distributed databases; data modeling, performance tuning and capacity planning for large-scale storage; proficiency in statistical tools and programming/scripting in Perl, Python, C++, or Tcl; excellent written and oral communication. Desirable: experience with data pipelines and database architecture for real-world systems; experience applying AI to EDA problems; strong collaboration and interpersonal skills. NVIDIA offers competitive compensation and a comprehensive benefits package, with equity and opportunities for growth in a collaborative environment.

Position: Senior DFT Methodology Engineer (Data Analytics and Applied AI) at NVIDIA, hybrid role in Santa Clara, California, United States. The engineer will work on pre-silicon and post-silicon data analytics—visualization, insights, and modeling—and will design and maintain data pipelines and ETL processes for ingestion and processing of DFX data from various sources. The role leads cross-functional collaborations to define data requirements and ensure data quality and consistency; applies algorithms and statistical tools to analyze complex datasets and explores Applied AI methods. The role also develops and deploys DFT methodologies for next-generation products using Gen AI, and mentors junior engineers on test designs and trade-offs. Requirements include: BSEE with 5+ years, MSEE with 3+, or PhD with 1+ year in low-power DFT, data visualization, applied ML or DB management; strong SQL, ETL, and data modeling experience; hands-on with cloud platforms (AWS, Azure, GCP); ability to design scalable, fault-tolerant distributed databases; data modeling, performance tuning and capacity planning for large-scale storage; proficiency in statistical tools and programming/scripting in Perl, Python, C++, or Tcl; excellent written and oral communication. Desirable: experience with data pipelines and database architecture for real-world systems; experience applying AI to EDA problems; strong collaboration and interpersonal skills. NVIDIA offers competitive compensation and a comprehensive benefits package, with equity and opportunities for growth in a collaborative environment.