CareerPlan

AI Methodology Design/CAD Engineer

Austin, United States of AmericaFull-time2026-09-30 → 2026-11-10

Core

Design and manufacture next-generation, high-performance, power-efficient processor and system-on-chip (SoC) by applying AI methodology to chip design.

Role type

Senior IC VLSI design/CAD engineer (AI methodology)

Builds

AI solutions, CAD tools, and flows for chip design challenges

Domain

Semiconductor / VLSI design / AI in EDA

Deliverable

production ML models

Required skills

VLSI design, CAD tools/flows, Python programming, AI tools usage, chip design flow understanding, EDA tools (simulation, synthesis, place and route, extraction, timing, physical verification), testbench/regression/signoff check development

Preferred skills

LLM applications, tool-using AI agents (MCP servers), AI system evaluation/tuning, machine learning on design data, CAD tool/flow/methodology development

Technologies

Python, LLMs, MCP servers, EDA tools

Responsibilities

Partner with design teams and CAD flow owners to identify AI opportunities; contribute to evaluation data and quality metrics; tune AI agents (prompts, tools, skills, models); develop CAD tools and flows for AI agents; evaluate AI tools from EDA vendors; enable AI capabilities to drive efficiency in chip delivery