Nvidia Senior DFT Methodology - Data Analytics AI Engineer 

United States, California 

472763769

What you'll be doing:

• 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.

What we need to see:

• 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.

Ways to stand out from the crowd:

• 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