AI Methodology Design CAD Engineer

What you'll do

• Identify complex design challenges and determine where AI can provide solutions for chip design teams.
• Build and evaluate AI solutions for tasks like custom/analog design, RTL, physical design, and timing.
• Tune AI agents by optimizing prompts, tools, agent skills, and model selection.
• Develop CAD tools and flows that enable AI agents to interact with design data and EDA tools.
• Establish evaluation data and quality metrics to identify where AI models or agents fail.
• Evaluate third-party EDA vendor AI tools against internal solutions.
• Drive organizational efficiency by integrating AI capabilities into the chip delivery process.

What we're looking for

• Bachelor of Science degree and 3+ years of relevant industry experience.
• Experience using AI tools, such as AI coding assistants, in engineering work.
• Experience in VLSI design, CAD tools, or CAD flows.
• Experience in Python programming.
• Experience building LLM applications or tool-using AI agents, including Model Context Protocol (MCP) servers (preferred).
• Experience evaluating or tuning AI systems, such as agent performance or output quality (preferred).
• Experience applying machine learning to design data, such as predicting timing or power (preferred).
• Understanding of the chip design flow from spec to tapeout and knowledge of industry-standard EDA tools (preferred).