Senior DFT Methodology - Data Analytics and Applied AI Engineer

NVIDIA•Santa Clara, CA

1d•$152,000 - $264,500•Hybrid

About The Position

NVIDIA's Design-for-Test Engineering team develops DFT architecture, verification, and post-silicon validation solutions for complex semiconductor chips. As a senior member of the team, you will work with pre-silicon and post-silicon data analytics, including visualization, insight generation, and modeling. You will build and maintain data pipelines and ETL processes for DFX Engineering data, collaborate with cross-functional teams to define data requirements and maintain data quality, and apply algorithm design, statistical analysis, and Applied AI to challenging Design For Test problems. You will also help develop and deploy DFT methodologies for next-generation products using Generative AI solutions and mentor junior engineers on test design trade-offs, including cost and quality.

Requirements

BSEE or equivalent experience with 5 or more years of experience, MSEE with 3 or more years, or PhD with 1 or more years 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 such as AWS, Azure, or GCP.
Excellent knowledge of statistical tools for data analysis and insights.
Strong programming and scripting skills in Perl, Python, C++, or Tcl.
Outstanding written and oral communication skills and curiosity to work on rare challenges.

Nice To Haves

Experience in data pipeline and database architecture for real-world systems.
Experience applying AI to EDA-related problem-solving.
Good understanding of technology and passion for the work.
Strong collaborative and interpersonal skills, including a proven ability to guide and influence effectively in a dynamic environment.

Responsibilities

Perform pre-silicon and post-silicon data analytics, including visualization, insight generation, and modeling.
Design and maintain robust data pipelines and ETL processes for ingesting and processing DFX Engineering data from varied sources.
Collaborate with execution, analytics, data science, and product teams to define data requirements and ensure data quality and consistency.
Apply algorithm design, statistical tools, and Applied AI methods to challenging Design For Test problems and complex datasets.
Develop and deploy DFT methodologies for next-generation products using Generative AI solutions.
Mentor junior engineers on test design and trade-offs, including cost and quality.
Design scalable, fault-tolerant distributed database solutions.
Lead data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads.