About the job
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.
Responsibilities
- 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
- Help develop and deploy DFT methodologies for our next generation products using Gen AI solutions
- Help mentor junior engineers on test designs and trade-offs including cost and quality
Qualifications
Minimum
- 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
Preferred
- 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