Senior DFT Methodology - Data Analytics and Applied AI Engineer
Core
Senior engineer designing data pipelines, ETL processes, and applying Applied AI/Gen AI methods for pre- and post-silicon data analytics and DFT methodology development on complex semiconductor chips.
Role type
Senior IC DFT Data Analytics and Applied AI Engineer
Builds
Scalable data pipelines, DFX data ingestion systems, and DFT methodologies for next-gen semiconductor products
Domain
Semiconductor / Design-for-Test (DFT) / Applied AI / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, ETL, data modeling, statistical analysis, algorithm design, cloud platforms (AWS/Azure/GCP), distributed database solutions, Python/C++/Perl/Tcl
Preferred skills
Data pipeline architecture, AI for EDA problem-solving, low-power DFT experience
Technologies
AWS, Azure, GCP, SQL, Python, C++, Perl, Tcl, Gen AI
Responsibilities
Design and uphold data pipelines for DFX Engineering data; lead cross-functional collaboration on data requirements; apply statistical tools and AI methods to analyze complex datasets; develop and deploy DFT methodologies using Gen AI; mentor junior engineers on test designs and trade-offs
Seniority
Senior, hands-on IC