Create and integrate AI agents to enhance the efficiency, productivity, and quality of VLSI design flows
Collaborate on the design and implementation of algorithms and models that can optimize VLSI design processes
Contribute to the development of software tools and frameworks that support the integration of AI in VLSI design
Analyze and interpret data to identify patterns and insights that can inform the development of AI-driven design methodologies
Stay ahead of the latest advancements in machine learning, deep learning, and VLSI build to continuously improve our solutions
Requirements
BS/MS/PhD in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience)
6+ years of experience building AI-driven software systems, ideally applied to complex engineering workflows
Strong programming skills in Python, with experience developing production-quality systems
Demonstrated experience designing and applying AI agents or learning-based decision systems (e.g., RL, planning, LLM-based agents) to optimize processes
Proficiency with modern ML frameworks (PyTorch, TensorFlow) and data-driven model development
Strong problem-solving and collaboration skills, with the ability to translate complex design challenges into agent-driven solutions