This role pays less than
52%
of similar roles. Most pay
$158,387–$223,812
— the shaded band above.
At the midpoint, this role pays about
$191k
versus about
$191k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
Senior DFT Methodology - Data Analytics and Applied AI Engineer joins the Design-for-Test Engineering team to address complex challenges in semiconductor chip architecture, verification, and post-silicon validation. This senior role involves developing pre-silicon and post-silicon data analytics for visualization, insights, and modeling while building robust data pipelines and ETL processes for DFX engineering data. The engineer will lead cross-functional efforts to define requirements, ensure data quality, and apply algorithm design and statistical tools to interpret complex datasets. Key responsibilities include deploying DFT methodologies using Gen AI solutions and mentoring junior engineers on test designs. Required skills include SQL, ETL, and data modeling; experience with cloud platforms like AWS, Azure, or GCP; and proficiency in Perl, Python, C++, or Tcl. The role focuses on solving hard-to-solve problems within the specialized Design For Test domain.