Senior Applied Machine Learning Engineer - VLSI Design
Core
Building AI-driven software systems for circuit design, combining automation algorithms, DL models, and agentic workflows to accelerate end-to-end design automation.
Role type
Senior Applied Machine Learning Engineer (VLSI/EDA)
Builds
AI systems for EDA, design automation, and circuit design workflows
Domain
Semiconductor hardware design, VLSI, EDA, and AI/ML
Deliverable
production ML models
Required skills
Python, C++, deep learning algorithms, AI agent frameworks, circuit design, VLSI, ASIC, EDA, silicon analysis, custom circuit design
Preferred skills
PyTorch, LangChain, LangGraph, agentic systems, autonomous optimization loops, self-improving AI systems, design-space exploration
Technologies
PyTorch, LangChain, LangGraph
Responsibilities
Work on silicon data analysis, manufacturing process variation analysis, VLSI circuit design, timing, and agent-driven design exploration; Translate requirements into data science, AI/ML, and agentic system problems; Test and release models and AI systems that integrate with existing tools; Analyze datasets, raise and validate hypotheses, extract relevant features, and build models; Optimize models, algorithms, and autonomous optimization systems until they reach the desired QOR.
Seniority
Senior, hands-on IC
