Applied Machine Learning Engineer, AI for VLSI Design - New College Grad 2026

What you'll do

• Research and implement electronic design automation techniques, including agentic AI solutions for VLSI design.
• Work on pre-silicon and post-silicon circuit design, circuit/layout optimization, and Spice correlation.
• Analyze problems and datasets, test hypotheses, and develop models and algorithms to reach the desired QOR.

What they ask for

• MS or PhD in Electrical/Computer Engineering, or equivalent experience.
• Experience in Combinatorial Optimization, Agentic AI and large language models, and Machine Learning for Chip Design & EDA.
• Background in Algorithms/Data Structures.
• Applied Math, Machine Learning, or software programming experience, with demonstrated ability to code in Python and C++.

Nice to have

• Prior background in large-scale EDA software development.
• Experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance.

Pay

116,000 USD - 184,000 USD base salary (Level 2); 152,000 USD - 230,000 USD base salary (Level 3)

Tools

Python, C++

AI focus

Develop agentic AI and machine learning solutions for VLSI design and electronic design automation.