Applied Machine Learning Engineer, AI for VLSI Design - New College Grad 2026
$116k - $230k • US, CA, Santa Clara
Posted 20d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
On-site
Categories
AI Engineer
About the job
Our team builds AI-driven software systems for Circuit Design, combining automation algorithms, deep learning models, and agentic workflows to accelerate end-to-end design automation. We are looking for an Applied Machine Learning Engineer to join our integral team in the Circuit Solutions Group. You will work within a multi-functional team on various projects involving pre-silicon and post-silicon custom circuit design, circuit/layout optimization, and Spice correlation. This role involves researching and implementing frontier solutions in electronic design automation and building innovative agentic AI solutions for VLSI design problems. You will be responsible for analyzing problems and datasets, validating hypotheses, and designing and building models and algorithms to achieve desired quality of results.
Responsibilities
- Work within a multi-functional team on projects involving pre-silicon and post-silicon custom circuit design and related data, circuit/layout optimization, and Spice correlation.
- Research and implement techniques on frontier solutions of electronic design automation.
- Build and innovate agentic AI solutions for VLSI design problems.
- Analyze problems or datasets, raise and validate hypotheses, and design and build models and algorithms.
Requirements
- MS or PhD in Electrical/Computer Engineering degree (or equivalent experience).
- Experience in Combinatorial Optimization, Agentic AI, large language models, and Machine Learning for Chip Design & EDA.
- Background in Algorithms/Data Structures.
- Experience in Applied Math/Machine Learning/Software programming.
- Demonstrated ability in writing code in Python and C++.
Benefits
- Equity
- Benefits