Applied Machine Learning Engineer, AI for VLSI Design - New College Grad 2026
Core
Build AI-driven software systems for circuit design automation, combining algorithms, deep learning models, and agentic workflows to accelerate end-to-end design automation for custom circuits.
Role type
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, 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
Work on Pre-silicon and Post Silicon custom circuit design projects; Research and implement frontier solutions in electronic design automation; Build and innovate agentic AI solutions for VLSI design problems; Analyze datasets, validate hypotheses, and design models to achieve desired Quality of Results (QOR).
