Applied Machine Learning Engineer, Circuit Design - New College Grad 2026
Core
Building AI-driven software systems for circuit design using automation algorithms, deep learning models, and agentic workflows to accelerate end-to-end design automation.
Role type
Applied Machine Learning Engineer (Circuit Design)
Builds
AI systems for EDA/design automation, silicon data analysis, and agent-driven design exploration
Domain
Semiconductor hardware design, VLSI, ASIC, EDA, and AI/ML
Deliverable
production ML models
Required skills
Python, C++, circuit design, VLSI, ASIC, EDA, silicon analysis, deep learning algorithms, data analysis, hypothesis validation, model optimization
Preferred skills
AI systems for EDA, agentic systems, autonomous optimization loops, PyTorch, LangChain, LangGraph
Technologies
PyTorch, LangChain, LangGraph
Responsibilities
Work on pre-silicon and post-silicon hardware design data and circuit optimization; Translate requirements into data science and AI/ML problems; Test and release models integrating with existing tools; Analyze datasets and build self-improving workflows; Optimize models and autonomous optimization systems
Seniority
New College Grad 2026
