Senior DFT Methodology - Data Analytics and Applied AI Engineer

About the role

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.

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

Pay

• Base salary range: 152,000 USD - 230,000 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4
• Equity and benefits also included