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.

Benefits

Competitive salaries
Generous benefits package

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAI agentsmachine learningdeep learningVLSI designalgorithmsdata analysisproduction-quality systemsreinforcement learningdata-driven model development

Soft Skills

problem-solvingcollaborationcommunication

Certifications

BS in Computer ScienceMS in Computer SciencePhD in Computer ScienceBS in Electrical EngineeringMS in Electrical EngineeringPhD in Electrical Engineering