About the job
We are looking for talented Software Engineers to work on developing and deploying an AI agent that leverages machine learning models to solve complex problems in VLSI design. The ideal candidate will have a strong background in computer science, electrical engineering, or a related field, with experience in machine learning, deep learning, and software development. The successful candidate will work closely with our team of experts in VLSI design, machine learning, and software engineering to create and integrate machine learning-based solutions that enhance the efficiency, productivity, and quality of our VLSI design flows.
Responsibilities
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.
Qualifications
Minimum
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.
Preferred
Experience with Large Language Models (LLMs) and their applications in software and AI development
Proficiency in standard methodologies for software development, including version control, testing, and CI/CD.
Deeply interested in learning disparate concepts and putting them together in innovative new ways