Applied AI Engineer - DFT Methodology
Tasks
- Architect end-to-end generative AI solutions
- Collaborate with VLSI and DFX teams on language related engineering challenges
- Define data collection storage consumption and management for AI use cases
- Deploy predictive machine learning models for silicon lifecycle management
- Explore applied AI solutions for DFX and VLSI problem statements
- Integrate agentic AI workflows into DFX applications and systems
- Mentor junior engineers on test designs and trade-offs
Perks/Benefits
- N/A
Skills/Tech-stack
ATPG | Agentic AI | C++ | Clock design | DFT | Data Analysis | Data Management | Deep learning | EDA | Generative AI | Language Models | Large Language Models | Machine Learning | Perl | Place and route | Power analysis | Predictive Modeling | Python | RTL | Retrieval-Augmented Generation | SCAN | Static Timing | Static Timing Analysis | Statistical Analysis | TCL | Timing Analysis | VLSI
Education
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