Applied Machine Learning Engineer - AI for VLSI Design

Responsibilities

• Work within a multi-functional team on various 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 solution for VLSI design problem.
• Responsible for analyzing the problem or datasets, raise and validate hypotheses, design and build models and algorithm until they reach the desired QOR.
• What we need to see
• MS (or equivalent experience) with 3+ years’ experience or PhD with 1+ years’ experience in Electrical/Computer Engineering degree
• Experience in the following fields is a strict requirement for this role: Combinatorial Optimization, Agentic AI and large language models, Machine Learning for Chip
• Design & EDA
• Experience in Algorithms/Data Structures/Applied Math/Machine Learning/Software programming with proven ability in writing code in Python, C++ is required.
• Experience in Applied Math/Machine Learning/Software programming with proven ability in writing code in Python, C++ is required

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