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
Agentic AI solutions and automation algorithms for electronic design automation (EDA) and chip design.
Domain
Semiconductor industry, VLSI design, 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 frameworks (implied by DL models), Agentic workflows
Responsibilities
Analyze problems and datasets, validate hypotheses, design and build models and algorithms to achieve desired Quality of Results (QOR), research and implement frontier solutions in EDA.
Seniority
Senior, hands-on IC