Senior DFT Methodology - Data Analytics and Applied AI Engineer
Tasks
- Analyze datasets with statistical tools
- Apply applied machine learning for complex datasets
- Build data pipelines
- Deploy design for test methodologies
- Develop and implement distributed database solutions
- Develop data models
- Ensure data quality and consistency
- Mentor junior engineers on test design tradeoffs
- Perform ETL processing
- Plan storage capacity
- Tune database performance
- Visualize pre-silicon and post-silicon data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | C++ | Capacity Planning | Data Modeling | Data Visualization | Database performance | Database performance tuning | Distributed Databases | ETL | Fault-tolerant | Fault-tolerant systems | GCP | Gen AI | Machine Learning | Performance Tuning | Perl | Python | SQL | Scalability | Statistical Analysis | TCL
Education
Regions
Countries
States
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