Senior DFT Methodology - Data Analytics and Applied AI Engineer

NVIDIA•Us, CA

2d•Hybrid

About The Position

Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. As a senior member in our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling. Design and uphold sturdy data pipelines and ETL processes for the ingestion and processing of DFX Engineering data from various origins. Lead engineering efforts by collaborating with cross-functional teams (execution, analytics, data science, product) to define data requirements and ensure data quality and consistency. You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods. In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions. You will also help mentor junior engineers on test designs and trade-offs including cost and quality.

Requirements

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 is crucial.
Hands-on experience with cloud platforms (AWS, Azure, GCP).
Design and implement highly scalable, fault tolerant distributed database solutions.
Lead data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads.
Excellent knowledge in using statistical tools for data analysis & insights.
Strong programming and scripting skills in Perl, Python, C++ or Tcl is expected.
Outstanding written and oral communication skills with the curiosity to work on rare challenges.

Nice To Haves

Experience in data pipeline and database architecture for real-world systems.
Experience in application of AI for EDA-related problem-solving.
Good understanding of technology and passionate about what you do.
Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment.

Responsibilities

Work with pre-silicon and post-silicon data analytics - visualization, insights and modeling.
Design and uphold sturdy data pipelines and ETL processes for the ingestion and processing of DFX Engineering data from various origins.
Lead engineering efforts by collaborating with cross-functional teams (execution, analytics, data science, product) to define data requirements and ensure data quality and consistency.
Work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods.
Develop and deploy DFT methodologies for our next generation products using Gen AI solutions.
Mentor junior engineers on test designs and trade-offs including cost and quality.