Applied Machine Learning Engineer - AI for VLSI Design
Core
Building AI-driven software systems for circuit design automation, combining algorithms, deep learning models, and agentic workflows to accelerate end-to-end design automation for pre-silicon and post-silicon custom circuit design.
Role type
Senior IC Applied Machine Learning Engineer (VLSI/EDA)
Builds
AI-driven software systems for circuit design automation
Domain
Semiconductor / Electronic Design Automation (EDA)
Deliverable
production ML models
Required skills
Combinatorial Optimization, Agentic AI, Large Language Models, Machine Learning for Chip Design & EDA, Algorithms, Data Structures, Applied Math, Python, C++
Preferred skills
Large-scale EDA software development, CMOS layout drawing, Schematic-to-layout translation, DRC/LVS compliance
Technologies
Python, C++, Deep Learning, Agentic Workflows
Responsibilities
Analyze problems and datasets, raise and validate hypotheses, design and build models and algorithms to reach desired Quality of Results (QOR), research and implement frontier solutions in electronic design automation.
Seniority
Senior, hands-on IC
